This commit is contained in:
Zachery Aaron Shores-Chmielewski 2026-05-26 12:09:22 +04:00
parent e8be135b3d
commit 05fb9cf563
52 changed files with 5037 additions and 2199 deletions

View file

@ -5,11 +5,16 @@ edition = "2024"
[features]
default = []
iroh = ["dep:iroh", "dep:tokio", "dep:iroh-metrics"]
# `dep:iroh-relay` is pulled in here (with only the empty `test-utils` feature)
# so the client side can name `CaRootsConfig::insecure_skip_verify()` for a
# custom relay's self-signed QAD cert. iroh already depends on iroh-relay
# transitively, so this adds no real weight — it only flips the cfg gate.
iroh = ["dep:iroh", "dep:tokio", "dep:iroh-metrics", "dep:iroh-relay"]
relay = [
"iroh",
"collector",
"dep:iroh-relay",
# The standalone relay binary additionally needs the (heavy) server side.
"iroh-relay/server",
"tokio/macros",
"tokio/signal",
]
@ -37,7 +42,14 @@ serde = { version = "1", features = ["derive"] }
serde_json = "1"
uuid = { version = "1", features = ["v4", "serde"] }
iroh = { version = "0.98", optional = true }
iroh-relay = { version = "0.98", features = ["server"], optional = true }
# `test-utils` (an empty feature) exposes two cfg-gated APIs we rely on:
# - client: `CaRootsConfig::insecure_skip_verify()` (trust a custom relay's
# self-signed QAD cert) — needs only `test-utils`.
# - relay binary: `server::testing::self_signed_tls_certs_and_config()` for
# the QAD cert — needs `test-utils` + `server` (the latter via the `relay`
# feature). Using the helper keeps the `rustls::ServerConfig` version in
# lockstep with what `QuicConfig` expects.
iroh-relay = { version = "0.98", features = ["test-utils"], optional = true }
iroh-metrics = { version = "0.38", optional = true }
tokio = { version = "1", features = ["rt-multi-thread"], optional = true }
axum = { version = "0.8", optional = true }

View file

@ -97,6 +97,26 @@ async fn main() -> ExitCode {
}
};
// QUIC Address Discovery (QAD): lets clients learn their own public
// address so iroh can hole-punch direct paths instead of pinning every
// connection to this relay. QAD runs over QUIC, which mandates TLS; the
// cert is self-signed because this is an operator-controlled diagnostic
// relay behind a firewall, and clients are configured to trust a custom
// relay's cert (see `iroh_driver`'s `ca_roots_config` for
// `RelayMode::Custom`). With `quic: None` the relay can only forward bytes
// and the cluster never escapes relay-only operation — which is what
// produced the all-`conn_type=Relay`, no-direct-path runs.
let quic = {
let (_certs, server_config) =
iroh_relay::server::testing::self_signed_tls_certs_and_config();
let quic_bind =
SocketAddr::new(bind.ip(), iroh_relay::defaults::DEFAULT_RELAY_QUIC_PORT);
Some(iroh_relay::server::QuicConfig {
bind_addr: quic_bind,
server_config,
})
};
let server = match iroh_relay::server::Server::spawn(
iroh_relay::server::ServerConfig::<(), ()> {
relay: Some(iroh_relay::server::RelayConfig {
@ -106,7 +126,7 @@ async fn main() -> ExitCode {
key_cache_capacity: Some(1024),
access: iroh_relay::server::AccessConfig::Everyone,
}),
quic: None,
quic,
metrics_addr: None,
},
)
@ -129,7 +149,11 @@ async fn main() -> ExitCode {
let url_host = public_host.unwrap_or_else(|| addr.ip().to_string());
let url = format!("http://{}:{}/", url_host, addr.port());
eprintln!("swactor-iroh-relay: listening on {bind} (advertised URL: {url})");
eprintln!(
"swactor-iroh-relay: listening on {bind} (advertised URL: {url}); \
QAD/QUIC on udp/{} (self-signed; open this port in the firewall)",
iroh_relay::defaults::DEFAULT_RELAY_QUIC_PORT,
);
// Spec §1: when a collector is configured, this relay reports
// into the same bundle as the cluster nodes under its own

View file

@ -36,6 +36,15 @@ pub fn assemble(state: &CollectorState, run_id: &str) -> io::Result<PathBuf> {
let bundle_path = state.bundle_path(run_id);
let file = File::create(&bundle_path)?;
assemble_into(state, run_id, file)?;
// Coverage 2.5: record the node-count snapshot at canonical-write
// time so the serve handler can detect staleness on a later GET
// (the canonical's node count vs. current staging's). Captured
// from the same in-memory `run_stats` the manifest was built from.
let canonical_node_count = state
.run_stats(run_id)
.map(|s| s.nodes.len())
.unwrap_or(0);
state.record_canonical_node_count(run_id, canonical_node_count);
Ok(bundle_path)
}

View file

@ -142,10 +142,32 @@ async fn download_bundle(
// unfinalized bundles are by definition retrieved during
// incident response."
// 3. neither tarball nor staging → 404 (truly unknown run).
//
// Coverage 2.5 — bundle serve hardening under run-id reuse: the
// canonical bytes on disk may be stale if staging has grown past
// the canonical's snapshot (the `1779733878` shape: phase-1
// finalize lands; phase-2 boot adds a new node to staging; a
// later GET should return the *richer* bundle, not the cached
// canonical). We use the node-count heuristic the spec names:
// compare current in-memory `nodes.len()` against the count
// recorded when the canonical was written. If staging is bigger,
// skip the cache and re-synthesize.
let path = state.bundle_path(&run_id);
let canonical = tokio::fs::read(&path).await;
match canonical {
Ok(bytes) => return ok_response(&run_id, bytes),
Ok(bytes) => {
let current_count = state
.run_stats(&run_id)
.map(|s| s.nodes.len())
.unwrap_or(0);
let canonical_count = state.canonical_node_count(&run_id).unwrap_or(current_count);
if current_count > canonical_count {
// Stale: fall through to synthesis so the richer
// surface lands in the response.
} else {
return ok_response(&run_id, bytes);
}
}
Err(e) if e.kind() == std::io::ErrorKind::NotFound => {
// Fall through to on-demand synthesis.
}

View file

@ -42,6 +42,15 @@ pub struct CollectorState {
/// next POST. Cleared on read so each hint fires once. T1.4
/// pull-trigger.
pending_hints: Mutex<HashMap<HintKey, Hints>>,
/// Coverage 2.5 — bundle serve hardening under run-id reuse.
/// Records the in-memory node count captured each time the
/// canonical tarball is written by `bundle::assemble`. On serve,
/// `download_bundle` compares this against the current
/// `run_stats(run_id).nodes.len()`; if staging has grown past
/// the canonical's snapshot the canonical is stale and the
/// handler rebuilds from current staging. This is the
/// "node-count heuristic" the spec names.
canonical_node_counts: Mutex<HashMap<String, usize>>,
}
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
@ -85,9 +94,34 @@ impl CollectorState {
seqs: Mutex::new(HashMap::new()),
runs: Mutex::new(HashMap::new()),
pending_hints: Mutex::new(HashMap::new()),
canonical_node_counts: Mutex::new(HashMap::new()),
}
}
/// Coverage 2.5: record the node-count snapshot captured when the
/// canonical tarball was last written for `run_id`. Called by
/// `bundle::assemble` right after the tarball lands on disk so
/// the serve handler can compare against current staging to
/// detect canonical staleness.
pub fn record_canonical_node_count(&self, run_id: &str, count: usize) {
let mut m = self
.canonical_node_counts
.lock()
.expect("canonical_node_counts mutex poisoned");
m.insert(run_id.to_string(), count);
}
/// Coverage 2.5: return the canonical's last-recorded node count
/// for `run_id`, or `None` if no canonical has been written yet
/// (or this collector process never wrote one).
pub fn canonical_node_count(&self, run_id: &str) -> Option<usize> {
self.canonical_node_counts
.lock()
.expect("canonical_node_counts mutex poisoned")
.get(run_id)
.copied()
}
/// Override the finalize wait window — tests use a millisecond
/// budget to keep the suite snappy. Production defaults to
/// [`DEFAULT_FINALIZE_WAIT`].

View file

@ -213,6 +213,66 @@ pub enum Event {
rtt_ms: Option<u64>,
outcome: String,
},
/// SWIM-protocol probe initiation (coverage 2.6). Distinct from the
/// host-level `ProbeSent` UDP-echo variant above: this one names a
/// peer `NodeId` (not a `host:port` string) and carries a SWIM
/// sequence number so the bundle reader can join (target, sequence)
/// across `SwimProbeSent` / `SwimProbeAcked` / `SwimProbeTimedOut`
/// to reconstruct per-probe RTT.
///
/// `kind` is one of `"direct"` (the prober sent a `Ping` to the
/// target directly) or `"indirect"` (the prober sent a `PingReq`
/// through one or more relays after a direct-phase timeout).
SwimProbeSent {
target: NodeId,
sequence: u64,
kind: String,
},
/// SWIM probe completion — an `Ack` matched the in-flight probe
/// (coverage 2.6). RTT is *not* carried in the event payload; the
/// post-processor reconstructs it from the `(target, sequence)`
/// pair's `wall_ms` delta between `SwimProbeSent` and this event.
/// That keeps the emitter free of tick-period bookkeeping and
/// keeps schema parity with the sim, which stamps `wall_ms` from
/// virtual time (per `SIM_SPEC.md §7`).
SwimProbeAcked {
target: NodeId,
sequence: u64,
kind: String,
},
/// SWIM probe expiry — the configured budget elapsed without a
/// matching ack (coverage 2.6). `kind="direct"` means the direct
/// phase expired and the indirect fanout fires next; `kind="indirect"`
/// means the full probe failed and the target is now Suspect.
/// `budget_ticks` is the configured `probe_timeout` so a bundle
/// reader can see the budget alongside the (absent) RTT —
/// honesty-under-absence per the discriminator pattern.
SwimProbeTimedOut {
target: NodeId,
sequence: u64,
kind: String,
budget_ticks: u64,
},
/// Inference response-leg send outcome (`N3_COVERAGE_EXTENSION_SPEC.md §2.4`).
/// Emitted by the last stage on attempting to send an
/// `InferenceResponse` upstream to the orchestrator. The `1779733878`
/// postmortem's conclusion — "last stage could not deliver the
/// response" — was inferred from dial timeouts plus the absence of
/// an inbound `InferenceResponse`. This typed event makes the
/// attribution a one-line read rather than a triangulation.
///
/// `send_outcome` is the iroh-level result discriminator the
/// transport returned: one of `"success"`, `"timeout"`,
/// `"connection_closed"`, `"refused"`, `"unresolved"`,
/// `"queued_unacked"`. The bundle reader can answer "did the
/// response send fail and how" without consulting an external
/// system.
InferenceResponseSent {
target_peer: NodeId,
request_id: String,
byte_size: u64,
send_outcome: String,
},
Error {
component: String,
message: String,

View file

@ -133,6 +133,26 @@ pub fn render_summary(bundle: &Bundle) -> String {
}
let _ = writeln!(out);
// -- SWIM per-probe RTT distribution (N3_COVERAGE_EXTENSION_SPEC §2.6).
// Joins `SwimProbeSent` to `SwimProbeAcked`/`SwimProbeTimedOut` by
// `(target, sequence, kind)` on the observer's event stream. Renders
// median/p95/p99 per (observer, target) pair plus per 5-second bucket
// so degradation over time is visible. Always emits the section
// header: absence is named, never silent.
let _ = writeln!(out, "## Probe RTT distribution");
let rtt_lines = swim_probe_rtt_lines(bundle);
if rtt_lines.is_empty() {
let _ = writeln!(
out,
"- No SWIM probe lifecycle events captured (gap 2.6 D/S layer not active for this run)."
);
} else {
for line in rtt_lines {
let _ = writeln!(out, "{line}");
}
}
let _ = writeln!(out);
// -- Kernel-level UDP / interface drops across the run window
// (spec §11). A line per (node, counter) only when the delta is
// non-zero; nothing rendered when every counter is clean.
@ -164,6 +184,27 @@ pub fn render_summary(bundle: &Bundle) -> String {
}
let _ = writeln!(out);
// -- Inference responses (N3_COVERAGE_EXTENSION_SPEC §2.4).
// One line per `InferenceResponseSent` event: which stage tried to
// deliver which request to which observer, the byte size, and the
// send outcome discriminator. Always rendered: when no responses
// exist in the bundle, the section names the absence so the
// bundle reader is never left guessing whether the surface was
// wired or whether the run carried no inference traffic.
let _ = writeln!(out, "## Inference responses");
let inf_lines = inference_response_lines(bundle);
if inf_lines.is_empty() {
let _ = writeln!(
out,
"- No InferenceResponseSent events captured (gap 2.4 D/S layer not active for this run)."
);
} else {
for line in inf_lines {
let _ = writeln!(out, "- {line}");
}
}
let _ = writeln!(out);
// -- Per-peer dial rollup --
let _ = writeln!(out, "## Per-peer dials");
let rollups = per_peer_dial_rollup(bundle);
@ -774,6 +815,225 @@ struct GossipTotals {
items: u64,
}
/// Inference response-leg send-outcome lines
/// (`N3_COVERAGE_EXTENSION_SPEC §2.4`).
///
/// One line per `InferenceResponseSent` event in any node's stream.
/// Lines are sorted by (sender_label, wall_ms, request_id) so the
/// bundle reader can read the response chain chronologically per
/// sender. The send-outcome discriminator surfaces the iroh-level
/// result (`success` / `timeout` / `connection_closed` / etc.) so
/// "the response did not arrive, here is the typed reason" is a
/// single read rather than a triangulation against dial timeouts.
fn inference_response_lines(bundle: &Bundle) -> Vec<String> {
use crate::diagnostics::reachability::node_id_hex;
let mut out: Vec<String> = Vec::new();
for (sender_label, node) in &bundle.nodes {
for rec in &node.events {
if let Event::InferenceResponseSent {
target_peer,
request_id,
byte_size,
send_outcome,
} = &rec.event
{
let target_hex = node_id_hex(target_peer);
let target_label = bundle.label_for_hex(&target_hex);
out.push(format!(
"{sender} -> {target}: request={request_id} bytes={byte_size} outcome={send_outcome} at={wall_ms}ms",
sender = sender_label,
target = target_label,
wall_ms = rec.wall_ms,
));
}
}
}
out.sort();
out
}
/// SWIM per-probe RTT distribution lines (`N3_COVERAGE_EXTENSION_SPEC §2.6`).
///
/// For every observer in the bundle, joins `SwimProbeSent` events to
/// matching `SwimProbeAcked` / `SwimProbeTimedOut` events by
/// `(target, sequence, kind)` and reconstructs per-probe RTT from the
/// `wall_ms` delta — RTT is *not* carried in the event payload to keep
/// the production emitter free of tick-period bookkeeping and to
/// preserve sim/prod parity (the simulator stamps `wall_ms` from
/// virtual time per `SIM_SPEC.md §7`).
///
/// Output: one line per (observer, target) pair with the run-wide
/// distribution, followed by per-five-second-bucket lines. A
/// `SwimProbeTimedOut` outcome contributes to the timeout count and
/// surfaces its `budget_ticks` budget — its RTT is absent (the budget
/// elapsed without a response), per the honesty-under-absence
/// discriminator pattern.
fn swim_probe_rtt_lines(bundle: &Bundle) -> Vec<String> {
use crate::diagnostics::reachability::node_id_hex;
#[derive(Default)]
struct OutcomeStats {
acked_rtts_ms: Vec<u64>,
timeout_count: u64,
timeout_budget_ticks: Option<u64>,
pending: u64,
}
type Key = (String, String);
let mut by_pair: BTreeMap<Key, OutcomeStats> = BTreeMap::new();
let mut by_pair_and_bucket: BTreeMap<(Key, u64), OutcomeStats> = BTreeMap::new();
// First pass: for each observer's stream, index `SwimProbeSent`
// events by (target_hex, sequence, kind) and walk acks/timeouts to
// reconstruct per-probe outcomes.
for (observer_label, node) in &bundle.nodes {
let mut sent: BTreeMap<(String, u64, String), u64> = BTreeMap::new();
let mut resolved: BTreeSet<(String, u64, String)> = BTreeSet::new();
for rec in &node.events {
match &rec.event {
Event::SwimProbeSent { target, sequence, kind } => {
sent.insert(
(node_id_hex(target), *sequence, kind.clone()),
rec.wall_ms,
);
}
Event::SwimProbeAcked { target, sequence, kind } => {
let key = (node_id_hex(target), *sequence, kind.clone());
if let Some(send_ms) = sent.get(&key).copied() {
let rtt_ms = rec.wall_ms.saturating_sub(send_ms);
let target_label = bundle.label_for_hex(&key.0);
let pair_key = (observer_label.clone(), target_label.clone());
by_pair
.entry(pair_key.clone())
.or_default()
.acked_rtts_ms
.push(rtt_ms);
let bucket = send_ms / 5_000;
by_pair_and_bucket
.entry((pair_key, bucket))
.or_default()
.acked_rtts_ms
.push(rtt_ms);
resolved.insert(key);
}
}
Event::SwimProbeTimedOut {
target,
sequence,
kind,
budget_ticks,
} => {
let key = (node_id_hex(target), *sequence, kind.clone());
let target_label = bundle.label_for_hex(&key.0);
let pair_key = (observer_label.clone(), target_label.clone());
let send_ms = sent.get(&key).copied();
let entry = by_pair.entry(pair_key.clone()).or_default();
entry.timeout_count = entry.timeout_count.saturating_add(1);
entry.timeout_budget_ticks =
Some(entry.timeout_budget_ticks.unwrap_or(*budget_ticks));
if let Some(send_ms) = send_ms {
let bucket = send_ms / 5_000;
let b_entry = by_pair_and_bucket
.entry((pair_key, bucket))
.or_default();
b_entry.timeout_count = b_entry.timeout_count.saturating_add(1);
b_entry.timeout_budget_ticks =
Some(b_entry.timeout_budget_ticks.unwrap_or(*budget_ticks));
}
resolved.insert(key);
}
_ => {}
}
}
// Probes the observer sent but never resolved (no ack, no
// timeout in the bundle's window) count as `pending` —
// honesty-under-absence: surface them, do not silently drop.
for (key, send_ms) in &sent {
if resolved.contains(key) {
continue;
}
let target_label = bundle.label_for_hex(&key.0);
let pair_key = (observer_label.clone(), target_label);
let entry = by_pair.entry(pair_key.clone()).or_default();
entry.pending = entry.pending.saturating_add(1);
let bucket = send_ms / 5_000;
let b_entry = by_pair_and_bucket
.entry((pair_key, bucket))
.or_default();
b_entry.pending = b_entry.pending.saturating_add(1);
}
}
if by_pair.is_empty() {
return Vec::new();
}
fn percentile(sorted: &[u64], pct: f64) -> Option<u64> {
if sorted.is_empty() {
return None;
}
// Nearest-rank percentile on a sorted slice. Deterministic;
// independent of float arithmetic order beyond the rounding step.
let rank = ((pct / 100.0) * (sorted.len() as f64)).ceil() as usize;
let idx = rank.saturating_sub(1).min(sorted.len() - 1);
Some(sorted[idx])
}
fn fmt_stats(stats: &OutcomeStats) -> String {
let mut rtts = stats.acked_rtts_ms.clone();
rtts.sort_unstable();
let median = percentile(&rtts, 50.0);
let p95 = percentile(&rtts, 95.0);
let p99 = percentile(&rtts, 99.0);
let acked = rtts.len() as u64;
let probes = acked + stats.timeout_count + stats.pending;
let rtt_block = if acked == 0 {
"rtt_ms=- (no acks)".to_string()
} else {
format!(
"rtt_ms median={} p95={} p99={}",
median.unwrap_or(0),
p95.unwrap_or(0),
p99.unwrap_or(0),
)
};
let budget_block = match stats.timeout_budget_ticks {
Some(b) => format!(" timeout_budget_ticks={b}"),
None => String::new(),
};
format!(
"probes={probes} acked={acked} timed_out={timed_out} pending={pending} {rtt_block}{budget_block}",
timed_out = stats.timeout_count,
pending = stats.pending,
)
}
let mut out: Vec<String> = Vec::new();
for (pair, stats) in &by_pair {
out.push(format!(
"- {observer} -> {target}: {body}",
observer = pair.0,
target = pair.1,
body = fmt_stats(stats),
));
let mut bucket_rows: Vec<(u64, &OutcomeStats)> = by_pair_and_bucket
.iter()
.filter(|((k, _), _)| k == pair)
.map(|((_, b), s)| (*b, s))
.collect();
bucket_rows.sort_by_key(|(b, _)| *b);
for (bucket, b_stats) in bucket_rows {
let from_s = bucket * 5;
let to_s = from_s + 5;
out.push(format!(
" bucket {from_s}-{to_s}s: {body}",
body = fmt_stats(b_stats),
));
}
}
out
}
fn probe_summary_lines(bundle: &Bundle) -> Vec<String> {
let mut out = Vec::new();
for (label, node) in &bundle.nodes {
@ -839,6 +1099,10 @@ fn event_kind(event: &Event) -> String {
Event::MessageReceived { .. } => "MessageReceived".into(),
Event::ProbeSent { .. } => "ProbeSent".into(),
Event::ProbeReceived { .. } => "ProbeReceived".into(),
Event::SwimProbeSent { .. } => "SwimProbeSent".into(),
Event::SwimProbeAcked { .. } => "SwimProbeAcked".into(),
Event::SwimProbeTimedOut { .. } => "SwimProbeTimedOut".into(),
Event::InferenceResponseSent { .. } => "InferenceResponseSent".into(),
Event::Error { .. } => "Error".into(),
Event::Custom { kind, .. } => format!("Custom({kind})"),
}

View file

@ -238,6 +238,14 @@ impl IrohDriver {
#[cfg(not(feature = "relay"))]
let (relay_url, effective_relay_mode) = (None::<String>, config.relay_mode);
// A custom relay is operator-controlled (typically `swactor-iroh-relay`
// on a VPS, serving QUIC Address Discovery with a self-signed cert).
// We trust its cert below so QAD's TLS handshake succeeds — without
// that, address discovery fails and every connection stays
// `conn_type=Relay`, which defeats hole-punching and makes a NAT'd peer
// (e.g. a locally-run orchestrator) reachable only over the relay.
let custom_relay = matches!(effective_relay_mode, RelayMode::Custom(_));
let endpoint = rt.block_on(async {
let mut alpns = vec![ALPN.to_vec()];
alpns.extend(config.additional_alpns.iter().cloned());
@ -245,6 +253,13 @@ impl IrohDriver {
.relay_mode(effective_relay_mode)
.alpns(alpns);
// Only relax relay-cert verification for a custom relay; Default /
// Staging relays keep full WebPKI verification.
if custom_relay {
builder =
builder.ca_roots_config(iroh::tls::CaRootsConfig::insecure_skip_verify());
}
if let Some(key) = config.secret_key {
builder = builder.secret_key(key);
}

View file

@ -5,7 +5,7 @@
//! 1. Higher incarnation wins unconditionally.
//! 2. Same incarnation: higher-priority state wins (Dead > Suspect > Alive).
use std::collections::HashMap;
use std::collections::BTreeMap;
use crate::types::{MemberState, NodeId, NodeRecord};
@ -28,13 +28,21 @@ impl MemberEntry {
}
/// The membership list — the core CRDT of the SWIM protocol.
///
/// Iteration order is by `NodeId` byte-ordering, not by insertion. This is
/// deliberate: a `HashMap` here would randomise iteration per process and
/// the dissemination layer's `pack_piggyback` order would vary run-to-run,
/// which prevents byte-identical bundle replay across sim runs and adds a
/// ±20 % run-to-run variance band to the gossip-flap property's
/// `self_incarnation_peak` (see `crates/simulation/SWIM_TUNING_REPORT.md`
/// §6.7 — the determinism prerequisite for evidence-driven retuning).
pub struct MemberList {
/// Our own node identity.
self_id: NodeId,
/// Our own incarnation number.
self_incarnation: u64,
/// All known members (excluding self).
members: HashMap<NodeId, MemberEntry>,
members: BTreeMap<NodeId, MemberEntry>,
}
impl MemberList {
@ -42,7 +50,7 @@ impl MemberList {
Self {
self_id,
self_incarnation: 0,
members: HashMap::new(),
members: BTreeMap::new(),
}
}

View file

@ -5,7 +5,6 @@
use std::sync::Arc;
use swactor::transport::hex_encode;
use crate::diagnostics::{noop_emitter, DynEmitter, Event as DiagEvent, EventEmitter, PeerState};
use crate::diagnostics::swim_introspect::SwimIntrospect;
use crate::diagnostics::snapshot::Tier2SwimConfig;
@ -14,7 +13,7 @@ use crate::types::{MemberState, NodeId, NodeRecord};
use super::dissemination::{membership_update, DisseminationQueue};
use super::member_list::MemberList;
use super::probe::{ProbeMode, SwimAction, SwimConfig, SwimEvent, SwimProbe};
use super::probe::{ProbeMode, SwimAction, SwimConfig, SwimDiagEvent, SwimEvent, SwimProbe};
/// Map SWIM's internal `MemberState` to the diagnostics wire type.
fn to_peer_state(state: MemberState) -> PeerState {
@ -449,7 +448,21 @@ impl SwimNode {
fn apply_membership_update(&mut self, update: MembershipUpdate) -> Vec<NodeAction> {
// Check if this is about us
if update.node_id == self.members.self_id() {
if update.state == MemberState::Suspect || update.state == MemberState::Dead {
// Layer-B1 refute-on-stale-Suspect gate (per
// `crates/simulation/SWIM_TUNING_REPORT.md` §6.1): only
// refute when the incoming Suspect/Dead update is at our
// *current* incarnation. A gossip path that carries a
// stale Suspect/Dead record at incarnation N while our
// local incarnation has already advanced past N is news
// we have already refuted — refuting again creates a
// non-zero floor on `self_incarnation_peak` that no
// tuning can collapse. Under the relay-mediated path the
// `1779733878` deploy exposed, stale Suspects can sit in
// the dissemination queue for many probe cycles; gating
// on incarnation is what keeps the storm bounded.
if (update.state == MemberState::Suspect || update.state == MemberState::Dead)
&& update.incarnation >= self.members.self_incarnation()
{
// Refute: bump incarnation and disseminate
let new_inc = self.members.refute();
if let Some(intro) = &self.introspect {
@ -486,7 +499,6 @@ impl SwimNode {
"gossip",
);
if update.state == MemberState::Alive {
eprintln!("SWIM: alive {}", &hex_encode(&update.node_id.0)[..8]);
// In reactive mode, probe newly discovered alive peers so they
// don't decay to dead before we ever exchange a ping/ack.
self.probe.enqueue_demand_probe(update.node_id);
@ -511,6 +523,15 @@ impl SwimNode {
for pa in probe_actions {
match pa {
SwimAction::SendPing { to, sequence } => {
// Coverage 2.6: record the probe initiation. The
// bundle reader joins (target, sequence) across
// `SwimProbeSent` / `SwimProbeAcked` / `SwimProbeTimedOut`
// to reconstruct per-probe RTT.
self.diagnostics.emit_event(DiagEvent::SwimProbeSent {
target: to,
sequence,
kind: "direct".to_string(),
});
// If the target is suspect or dead, re-enqueue its state
// so it piggybacks on this message. This is the key mechanism
// for partition-heal recovery: the target learns it was
@ -530,6 +551,12 @@ impl SwimNode {
});
}
SwimAction::SendPingReq { relay, target, sequence } => {
// Coverage 2.6: indirect-phase probe initiation.
self.diagnostics.emit_event(DiagEvent::SwimProbeSent {
target,
sequence,
kind: "indirect".to_string(),
});
let pb = self.dissemination.pack_piggyback(self.max_piggyback);
actions.push(NodeAction::SendPingReq {
relay,
@ -539,7 +566,6 @@ impl SwimNode {
});
}
SwimAction::Suspect(node_id) => {
eprintln!("SWIM: suspect {}", &hex_encode(&node_id.0)[..8]);
let prior = self
.members
.get(&node_id)
@ -561,7 +587,6 @@ impl SwimNode {
}
}
SwimAction::DeclareDead(node_id) => {
eprintln!("SWIM: dead {}", &hex_encode(&node_id.0)[..8]);
// The probe layer already flipped Suspect→Dead in
// `MemberList` before producing this action, so the
// current entry reads Dead. SWIM's lifecycle is
@ -598,6 +623,23 @@ impl SwimNode {
self.cluster_size(),
);
}
SwimAction::Diag(diag) => match diag {
SwimDiagEvent::ProbeAcked { target, sequence, kind } => {
self.diagnostics.emit_event(DiagEvent::SwimProbeAcked {
target,
sequence,
kind: kind.to_string(),
});
}
SwimDiagEvent::ProbeTimedOut { target, sequence, kind, budget_ticks } => {
self.diagnostics.emit_event(DiagEvent::SwimProbeTimedOut {
target,
sequence,
kind: kind.to_string(),
budget_ticks,
});
}
},
}
}
actions

View file

@ -106,6 +106,39 @@ pub enum SwimAction {
DeclareDead(NodeId),
/// Our node was suspected — refute with bumped incarnation.
Refute { new_incarnation: u64 },
/// Diagnostic-only signal — no protocol effect. The host adapter
/// translates these into typed `Event` records for coverage 2.6
/// (per-SWIM-probe RTT). Threading them as a `SwimAction` variant
/// keeps the probe state machine pure (no emitter handle) while
/// still letting the caller observe ack/timeout lifecycle without
/// reaching into private phase state.
Diag(SwimDiagEvent),
}
/// Diagnostic-only events produced by the probe state machine.
///
/// `kind` is `"direct"` for the direct-phase ack/timeout (i.e. a
/// `SendPing` initiating the probe) and `"indirect"` for the
/// indirect-phase ack/timeout (i.e. a `SendPingReq` fanout). The
/// strings match the `kind` field on `Event::SwimProbeSent` /
/// `SwimProbeAcked` / `SwimProbeTimedOut` so the host adapter is a
/// 1:1 translation.
#[derive(Debug, Clone)]
pub enum SwimDiagEvent {
/// An ack matched the in-flight probe and the probe is complete.
ProbeAcked {
target: NodeId,
sequence: u64,
kind: &'static str,
},
/// The configured budget elapsed before the in-flight probe got
/// its ack. `budget_ticks` is the configured `probe_timeout`.
ProbeTimedOut {
target: NodeId,
sequence: u64,
kind: &'static str,
budget_ticks: u64,
},
}
// ─── Probe State ────────────────────────────────────────────────────────────
@ -322,6 +355,16 @@ impl SwimProbe {
if self.tick - sent_at >= self.config.probe_timeout {
let target = *target;
let sequence = *sequence;
let budget = self.config.probe_timeout;
// The direct phase expired — signal coverage 2.6 first,
// then fan out the indirect probes.
actions.push(SwimAction::Diag(SwimDiagEvent::ProbeTimedOut {
target,
sequence,
kind: "direct",
budget_ticks: budget,
}));
// Send indirect probes through relays
let relays = self.pick_relays(members, target);
@ -340,9 +383,21 @@ impl SwimProbe {
};
}
}
ProbePhase::WaitingIndirectAck { target, sequence: _, sent_at } => {
ProbePhase::WaitingIndirectAck { target, sequence, sent_at } => {
if self.tick - sent_at >= self.config.probe_timeout {
let target = *target;
let sequence = *sequence;
let budget = self.config.probe_timeout;
// Indirect phase expired — coverage 2.6 signal first, then
// declare suspect.
actions.push(SwimAction::Diag(SwimDiagEvent::ProbeTimedOut {
target,
sequence,
kind: "indirect",
budget_ticks: budget,
}));
// No ack received — suspect this node
actions.push(SwimAction::Suspect(target));
self.start_suspicion_timer(target);
@ -353,27 +408,37 @@ impl SwimProbe {
}
}
fn handle_ack(&mut self, from: NodeId, sequence: u64, _members: &mut MemberList, _actions: &mut Vec<SwimAction>) {
match &self.phase {
fn handle_ack(&mut self, from: NodeId, sequence: u64, _members: &mut MemberList, actions: &mut Vec<SwimAction>) {
let kind = match &self.phase {
ProbePhase::WaitingDirectAck { target, sequence: expected, .. }
| ProbePhase::WaitingIndirectAck { target, sequence: expected, .. } => {
if from == *target && sequence == *expected {
// Successful ack — cancel any suspicion timer for this node
self.cancel_suspicion_timer(from);
self.phase = ProbePhase::Idle;
}
}
ProbePhase::Idle => {}
if from == *target && sequence == *expected => Some("direct"),
ProbePhase::WaitingIndirectAck { target, sequence: expected, .. }
if from == *target && sequence == *expected => Some("indirect"),
_ => None,
};
if let Some(kind) = kind {
// Successful ack — coverage 2.6 signal, cancel suspicion, idle.
actions.push(SwimAction::Diag(SwimDiagEvent::ProbeAcked {
target: from,
sequence,
kind,
}));
self.cancel_suspicion_timer(from);
self.phase = ProbePhase::Idle;
}
}
fn handle_indirect_ack(&mut self, target: NodeId, sequence: u64, _members: &mut MemberList, _actions: &mut Vec<SwimAction>) {
if let ProbePhase::WaitingIndirectAck { target: expected, sequence: expected_seq, .. } = &self.phase {
if target == *expected && sequence == *expected_seq {
fn handle_indirect_ack(&mut self, target: NodeId, sequence: u64, _members: &mut MemberList, actions: &mut Vec<SwimAction>) {
if let ProbePhase::WaitingIndirectAck { target: expected, sequence: expected_seq, .. } = &self.phase
&& target == *expected && sequence == *expected_seq {
actions.push(SwimAction::Diag(SwimDiagEvent::ProbeAcked {
target,
sequence,
kind: "indirect",
}));
self.cancel_suspicion_timer(target);
self.phase = ProbePhase::Idle;
}
}
}
fn start_suspicion_timer(&mut self, node_id: NodeId) {

View file

@ -34,12 +34,18 @@
## Probe outcomes
- orchestrator: udp_echo/collector-udp-echo → ok (rtt=7ms, 3/3 ok)
## Probe RTT distribution
- No SWIM probe lifecycle events captured (gap 2.6 D/S layer not active for this run).
## Kernel network drops
- No non-zero UDP/interface drop deltas observed.
## Gossip receipts (by node, by kind)
- No GossipReceived events captured (no node ran a gossip-emitting source).
## Inference responses
- No InferenceResponseSent events captured (gap 2.4 D/S layer not active for this run).
## Per-peer dials
- totals: started=3, succeeded=2, failed=1, in-flight=0

View file

@ -0,0 +1,314 @@
//! Coverage 2.5 — bundle serve hardening under run-id reuse
//! (`N3_COVERAGE_EXTENSION_SPEC.md §2.5`).
//!
//! Spec close criterion: "a collector unit test writes two phases of
//! staging with an intervening finalize, deletes the first-phase
//! node, and verifies the second `GET` serves the richer bundle and
//! that the cleared node does not appear in the manifest."
//!
//! The `1779733878` postmortem named the bug: when a run id is reused
//! across the failed-first-lease / successful-second-lease shape, a
//! finalize record from the first phase pins a stale canonical bundle
//! in the collector's cache. A subsequent `GET` serves the stale 5.3 KB
//! bundle instead of synthesizing the rich 9.3 MB one from current
//! staging.
//!
//! This test exercises the spec's two-phase scenario at the unit
//! level: phase-1 finalize lands → canonical builds (1 node);
//! phase-2 boot adds a second node to staging; the subsequent GET
//! must reflect both nodes in the served bundle's manifest, not just
//! the canonical's stale single-node snapshot.
#![cfg(feature = "collector")]
use std::io::Read;
use std::net::SocketAddr;
use std::path::PathBuf;
use std::sync::Arc;
use std::time::{Duration, SystemTime, UNIX_EPOCH};
use distribution::diagnostics::collector::{CollectorState, Manifest, bind, serve};
use flate2::read::GzDecoder;
use serde_json::{Value, json};
use tokio::io::{AsyncReadExt, AsyncWriteExt};
use tokio::net::TcpStream;
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn run_id_reuse_serves_richer_bundle_not_stale_canonical() {
// Spec §2.5 D-layer close criterion. Phase 1 lands node A's
// records + finalize, producing a 1-node canonical bundle.
// Phase 2 adds node B's boot to staging. The subsequent GET
// must return a 2-node bundle (the richer surface), not the
// cached 1-node canonical.
let fx = Fixture::start().await;
let run_id = "reused-run-id";
let node_a = "a".repeat(64);
let node_b = "b".repeat(64);
// ── Phase 1: node A's full lifecycle ──────────────────────────
let boot_a = boot_payload(run_id, &node_a, "orchestrator", 0);
assert_eq!(
post_json(&fx, "/diag/boot", run_id, &node_a, 100, &boot_a).await.status,
200,
"phase-1 boot must succeed"
);
let events_a = json!([]);
assert_eq!(
post_json(&fx, "/diag/events", run_id, &node_a, 200, &events_a).await.status,
200,
"phase-1 events must succeed"
);
let finalize_a = json!({"finalize_at_ms": 300});
assert_eq!(
post_json(&fx, "/diag/finalize", run_id, &node_a, 300, &finalize_a).await.status,
200,
"phase-1 finalize must succeed (builds canonical)"
);
// Verify the canonical was built and a GET serves it correctly
// at this point (1 node).
let r1 = get(&fx, &format!("/diag/bundle/{run_id}")).await;
assert_eq!(r1.status, 200, "phase-1 GET must succeed");
let m1: Manifest = serde_json::from_slice(&read_tar_file(
&r1.body,
&format!("{run_id}/MANIFEST.json"),
))
.expect("phase-1 manifest parses");
assert_eq!(
m1.nodes.len(),
1,
"phase-1 manifest must list exactly node A; got {:#?}",
m1.nodes
);
assert!(
m1.finalize_received,
"phase-1 manifest must show finalize_received=true",
);
// ── Phase 2: node B's boot lands after the phase-1 finalize ──
let boot_b = boot_payload(run_id, &node_b, "stage", 0);
assert_eq!(
post_json(&fx, "/diag/boot", run_id, &node_b, 1000, &boot_b).await.status,
200,
"phase-2 boot must succeed"
);
// ── The contract: GET must now reflect the richer 2-node
// surface, not the stale 1-node canonical. Without coverage 2.5's
// node-count heuristic in `download_bundle`, the handler would
// serve the cached canonical from phase 1 (1 node only) and the
// bundle reader would not see node B. With the heuristic, the
// current `nodes.len()` (2) exceeds the canonical's snapshot
// (1) and the handler falls through to synthesis.
let r2 = get(&fx, &format!("/diag/bundle/{run_id}")).await;
assert_eq!(r2.status, 200, "phase-2 GET must succeed");
let m2: Manifest = serde_json::from_slice(&read_tar_file(
&r2.body,
&format!("{run_id}/MANIFEST.json"),
))
.expect("phase-2 manifest parses");
assert_eq!(
m2.nodes.len(),
2,
"phase-2 GET must return the richer 2-node surface (not the stale 1-node canonical); got {:#?}",
m2.nodes
);
// Both nodes are present.
assert!(
m2.nodes.iter().any(|n| n.node_id_hex == node_a),
"phase-2 manifest must include node A from phase 1",
);
assert!(
m2.nodes.iter().any(|n| n.node_id_hex == node_b),
"phase-2 manifest must include node B from phase 2",
);
}
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn stable_canonical_keeps_serving_when_staging_has_not_grown() {
// The other side of the contract: when staging matches the
// canonical's snapshot (no new node has arrived), the handler
// continues to serve the cached canonical. This is the
// optimization the coverage 2.5 heuristic preserves — only stale
// canonicals get re-synthesized. Without this branch the cache
// would be useless.
let fx = Fixture::start().await;
let run_id = "stable-run";
let node_id = "c".repeat(64);
let boot = boot_payload(run_id, &node_id, "stage", 0);
let _ = post_json(&fx, "/diag/boot", run_id, &node_id, 100, &boot).await;
let _ = post_json(&fx, "/diag/finalize", run_id, &node_id, 200, &json!({})).await;
let r1 = get(&fx, &format!("/diag/bundle/{run_id}")).await;
let r2 = get(&fx, &format!("/diag/bundle/{run_id}")).await;
assert_eq!(r1.status, 200);
assert_eq!(r2.status, 200);
// Byte-identical: serving the cached canonical, not re-synthesizing.
assert_eq!(
r1.body, r2.body,
"consecutive GETs against an unchanged run must return byte-identical bundles",
);
}
// ─── fixture + helpers (slimmed copy of t_diag_bundle_without_finalize) ─
fn boot_payload(run_id: &str, node_id: &str, role: &str, stage_index: u32) -> Value {
json!({
"node_id_hex": node_id,
"node_id_short": &node_id[..8],
"role": role,
"stage_index": stage_index,
"stage_count": 3,
"run_id": run_id,
"process_start_unix_ms": 1,
"boot_sequence": 0,
})
}
struct Fixture {
addr: SocketAddr,
_tmpdir: TempDir,
_server: tokio::task::JoinHandle<()>,
}
impl Fixture {
async fn start() -> Self {
let tmpdir = TempDir::new();
let root = tmpdir.path().to_path_buf();
let state = Arc::new(
CollectorState::new(&root).with_finalize_wait(Duration::from_millis(0)),
);
let listener = bind("127.0.0.1:0".parse().unwrap()).await.expect("bind");
let addr = listener.local_addr().expect("local_addr");
let handle = tokio::spawn(async move {
let _ = serve(listener, state).await;
});
tokio::time::sleep(Duration::from_millis(50)).await;
Fixture {
addr,
_tmpdir: tmpdir,
_server: handle,
}
}
}
struct HttpResponse {
status: u16,
body: Vec<u8>,
}
async fn post_json(
fx: &Fixture,
path: &str,
run_id: &str,
node_id: &str,
node_send_ms: u64,
body: &Value,
) -> HttpResponse {
let body_bytes = serde_json::to_vec(body).unwrap();
let send_ms_str = node_send_ms.to_string();
let req = http_request(
"POST",
path,
&[
("x-run-id", run_id),
("x-node-id", node_id),
("x-node-send-ms", &send_ms_str),
("content-type", "application/json"),
],
&body_bytes,
);
send(fx, &req).await
}
async fn get(fx: &Fixture, path: &str) -> HttpResponse {
let req = http_request("GET", path, &[], b"");
send(fx, &req).await
}
fn http_request(method: &str, path: &str, headers: &[(&str, &str)], body: &[u8]) -> Vec<u8> {
let mut out = Vec::new();
out.extend_from_slice(format!("{method} {path} HTTP/1.1\r\n").as_bytes());
out.extend_from_slice(b"host: 127.0.0.1\r\n");
out.extend_from_slice(b"connection: close\r\n");
out.extend_from_slice(format!("content-length: {}\r\n", body.len()).as_bytes());
for (k, v) in headers {
out.extend_from_slice(format!("{k}: {v}\r\n").as_bytes());
}
out.extend_from_slice(b"\r\n");
out.extend_from_slice(body);
out
}
async fn send(fx: &Fixture, request: &[u8]) -> HttpResponse {
let mut stream = TcpStream::connect(fx.addr).await.expect("connect");
stream.write_all(request).await.expect("write");
stream.flush().await.ok();
let mut buf = Vec::new();
tokio::time::timeout(Duration::from_secs(5), stream.read_to_end(&mut buf))
.await
.expect("response within 5s")
.expect("read");
parse_response(&buf)
}
fn parse_response(bytes: &[u8]) -> HttpResponse {
let split = bytes
.windows(4)
.position(|w| w == b"\r\n\r\n")
.expect("response has headers terminator");
let head = std::str::from_utf8(&bytes[..split]).expect("response head is utf8");
let mut lines = head.split("\r\n");
let status_line = lines.next().expect("status line");
let mut parts = status_line.split_whitespace();
let _proto = parts.next();
let status: u16 = parts
.next()
.and_then(|s| s.parse().ok())
.expect("status code");
let body = bytes[split + 4..].to_vec();
HttpResponse { status, body }
}
fn read_tar_file(gz_bytes: &[u8], path: &str) -> Vec<u8> {
let gz = GzDecoder::new(gz_bytes);
let mut ar = tar::Archive::new(gz);
for entry in ar.entries().expect("tar entries") {
let mut entry = entry.expect("tar entry");
let entry_path = entry.path().expect("tar path").to_string_lossy().into_owned();
if entry_path == path {
let mut buf = Vec::new();
entry.read_to_end(&mut buf).expect("read tar file");
return buf;
}
}
panic!("file {path} not found in tarball");
}
struct TempDir {
path: PathBuf,
}
impl TempDir {
fn new() -> Self {
let pid = std::process::id();
let nano = SystemTime::now()
.duration_since(UNIX_EPOCH)
.map(|d| d.subsec_nanos())
.unwrap_or(0);
let mut path = std::env::temp_dir();
path.push(format!("swactor-bundle-serve-hardening-{pid}-{nano:x}"));
std::fs::create_dir_all(&path).unwrap();
TempDir { path }
}
fn path(&self) -> &std::path::Path {
&self.path
}
}
impl Drop for TempDir {
fn drop(&mut self) {
let _ = std::fs::remove_dir_all(&self.path);
}
}

View file

@ -0,0 +1,369 @@
//! Coverage 2.6 T-layer
//! (`N3_COVERAGE_EXTENSION_SPEC.md §2.6`).
//!
//! Spec close criterion: "a deployed bundle's postproc summary names
//! the median / p99 RTT per (observer, target) and a sim bundle
//! produces the matching surface. `no_flap_while_probes_ok`
//! resolves to `Pass` or `Fail` (not `Inconclusive`) on every SWIM
//! scenario in the calibration library."
//!
//! This test exercises the renderer's `## Probe RTT distribution`
//! section directly against a hand-constructed bundle whose events
//! carry known `(observer, target, sequence, kind)` joins. The
//! renderer must:
//!
//! 1. Reconstruct per-probe RTT from `wall_ms` deltas between
//! matching `SwimProbeSent` and `SwimProbeAcked` events.
//! 2. Compute median / p95 / p99 per (observer, target) pair across
//! the run.
//! 3. Bucket the same data into 5-second windows so degradation
//! over time is visible — the spec's "spike at the mutation
//! time" sub-contract.
//!
//! Testing at the renderer level (rather than as a sim integration
//! test) cuts straight at the close-criterion surface: the *rendered
//! section* is what a bundle reader actually sees. Confirming the
//! renderer's RTT math is correct under controlled inputs is what
//! the spec's "fall within stated tolerance" assertion targets.
#![cfg(feature = "collector")]
use std::collections::BTreeMap;
use distribution::diagnostics::event::{Event, EventRecord};
use distribution::diagnostics::postproc::{Bundle, NodeData, PostprocManifest, PostprocManifestNode, render_summary};
use distribution::types::NodeId;
const ORCH_HEX: &str = "1111111111111111111111111111111111111111111111111111111111111111";
const STAGE0_HEX: &str = "2222222222222222222222222222222222222222222222222222222222222222";
fn node_id_from_hex(hex: &str) -> NodeId {
let mut bytes = [0u8; 32];
for (i, b) in bytes.iter_mut().enumerate() {
let s = &hex[2 * i..2 * i + 2];
*b = u8::from_str_radix(s, 16).expect("valid hex");
}
NodeId(bytes)
}
fn manifest_with(nodes: Vec<(&str, &str)>) -> PostprocManifest {
PostprocManifest {
run_id: "rtt-distribution-fixture".into(),
run_start_collector_ms: Some(0),
run_end_collector_ms: Some(15_000),
finalize_received: true,
nodes: nodes
.into_iter()
.map(|(label, hex)| PostprocManifestNode {
node_id_hex: hex.to_string(),
label: label.to_string(),
role: None,
stage_index: None,
boot_recorded: true,
event_batches: 0,
snapshots: 0,
finalize_recorded: true,
})
.collect(),
}
}
/// Construct a `EventRecord` for a `SwimProbeSent` event.
fn probe_sent(observer_hex: &str, target: NodeId, sequence: u64, wall_ms: u64) -> EventRecord {
EventRecord {
node_id: node_id_from_hex(observer_hex),
monotonic_seq: sequence,
wall_ms,
event: Event::SwimProbeSent {
target,
sequence,
kind: "direct".into(),
},
}
}
fn probe_acked(observer_hex: &str, target: NodeId, sequence: u64, wall_ms: u64) -> EventRecord {
EventRecord {
node_id: node_id_from_hex(observer_hex),
monotonic_seq: sequence + 10_000,
wall_ms,
event: Event::SwimProbeAcked {
target,
sequence,
kind: "direct".into(),
},
}
}
fn probe_timed_out(
observer_hex: &str,
target: NodeId,
sequence: u64,
wall_ms: u64,
budget_ticks: u64,
) -> EventRecord {
EventRecord {
node_id: node_id_from_hex(observer_hex),
monotonic_seq: sequence + 20_000,
wall_ms,
event: Event::SwimProbeTimedOut {
target,
sequence,
kind: "direct".into(),
budget_ticks,
},
}
}
fn make_bundle(events: Vec<EventRecord>) -> Bundle {
let manifest = manifest_with(vec![("orchestrator", ORCH_HEX), ("stage-0", STAGE0_HEX)]);
let mut orch = NodeData::default();
orch.label = "orchestrator".into();
orch.node_id_hex = ORCH_HEX.into();
let mut stage0 = NodeData::default();
stage0.label = "stage-0".into();
stage0.node_id_hex = STAGE0_HEX.into();
let orch_id = node_id_from_hex(ORCH_HEX);
for rec in events {
if rec.node_id == orch_id {
orch.events.push(rec);
} else {
stage0.events.push(rec);
}
}
let mut nodes_map: BTreeMap<String, NodeData> = BTreeMap::new();
nodes_map.insert("orchestrator".into(), orch);
nodes_map.insert("stage-0".into(), stage0);
Bundle {
run_id: "rtt-distribution-fixture".into(),
manifest,
nodes: nodes_map,
}
}
/// Extract the `## Probe RTT distribution` section lines from
/// `render_summary` output. Returns the lines including the section
/// header up to (not including) the next section.
fn extract_rtt_section(summary: &str) -> Vec<String> {
let mut out: Vec<String> = Vec::new();
let mut in_section = false;
for line in summary.lines() {
if line.starts_with("## ") {
if in_section {
break;
}
if line.starts_with("## Probe RTT distribution") {
in_section = true;
}
}
if in_section {
out.push(line.to_string());
}
}
out
}
#[test]
fn renderer_computes_median_p95_p99_per_observer_target_pair_within_tolerance() {
// Spec §2.6: "the postproc summary names the median / p99 RTT
// per (observer, target)". Synthesize 100 probes for the
// orch → stage-0 pair with deterministic RTTs in the band
// [100 ms, 200 ms]. The median lands at 150 ms; p95 at 195 ms;
// p99 at 199 ms.
let stage0_id = node_id_from_hex(STAGE0_HEX);
let mut events: Vec<EventRecord> = Vec::new();
for i in 0..100u64 {
// Linearly-spaced RTTs from 100 ms (i=0) to 199 ms (i=99).
let send_ms = i * 250;
let rtt_ms = 100 + i;
events.push(probe_sent(ORCH_HEX, stage0_id, i + 1, send_ms));
events.push(probe_acked(ORCH_HEX, stage0_id, i + 1, send_ms + rtt_ms));
}
let bundle = make_bundle(events);
let summary = render_summary(&bundle);
let rtt_lines = extract_rtt_section(&summary);
assert!(
!rtt_lines.is_empty(),
"no `## Probe RTT distribution` section in summary:\n{summary}"
);
// The orch→stage-0 line carries the run-wide totals.
let totals_line = rtt_lines
.iter()
.find(|l| l.starts_with("- orchestrator -> stage-0:"))
.unwrap_or_else(|| panic!("no orch→stage-0 totals line in RTT section:\n{rtt_lines:#?}"));
// The line is `- {observer} -> {target}: probes=N acked=N
// timed_out=N pending=N rtt_ms median=X p95=Y p99=Z`. We parse
// the numeric fields and assert they fall within tolerance of
// the synthesized distribution.
let (probes, acked, timed_out, median, p95, p99) = parse_totals_line(totals_line);
assert_eq!(probes, 100, "probes count must match synthesized input");
assert_eq!(acked, 100, "all 100 probes acked in this fixture");
assert_eq!(timed_out, 0, "no timeouts in this fixture");
// Median: 50th percentile by nearest-rank on 100 sorted RTTs ⇒
// index 49 ⇒ value 149 ms.
assert!(
(149..=151).contains(&median),
"median ({median}) must be ~150 ms; got line: {totals_line}"
);
// p95: nearest-rank rank=95 ⇒ index 94 ⇒ value 194 ms.
assert!(
(192..=196).contains(&p95),
"p95 ({p95}) must be ~194 ms; got line: {totals_line}"
);
// p99: rank=99 ⇒ index 98 ⇒ value 198 ms.
assert!(
(196..=200).contains(&p99),
"p99 ({p99}) must be ~198 ms; got line: {totals_line}"
);
}
#[test]
fn renderer_buckets_show_spike_at_mutation_time() {
// Spec §2.6: "a scenario with a `LatencySpike` mutation produces
// a bundle whose RTT section shows the spike at the mutation
// time". Synthesize two clusters:
// - bucket [0-5s): steady-state at 100 ms RTT.
// - bucket [10-15s): spike at 600 ms RTT (6× the baseline).
// The bucket lines must surface the difference: the spike
// bucket's median ~600 ms, the steady bucket's median ~100 ms.
let stage0_id = node_id_from_hex(STAGE0_HEX);
let mut events: Vec<EventRecord> = Vec::new();
for i in 0..10u64 {
// Steady state: ten probes in [0, 5s), all with RTT 100 ms.
let send_ms = i * 400;
events.push(probe_sent(ORCH_HEX, stage0_id, i + 1, send_ms));
events.push(probe_acked(ORCH_HEX, stage0_id, i + 1, send_ms + 100));
}
for i in 0..10u64 {
// Spike window: ten probes in [10s, 15s), all with RTT 600 ms.
let send_ms = 10_000 + i * 400;
let seq = i + 100;
events.push(probe_sent(ORCH_HEX, stage0_id, seq, send_ms));
events.push(probe_acked(ORCH_HEX, stage0_id, seq, send_ms + 600));
}
let bundle = make_bundle(events);
let summary = render_summary(&bundle);
let rtt_lines = extract_rtt_section(&summary);
// Find the bucket lines for [0-5s) and [10-15s).
let bucket_steady = rtt_lines
.iter()
.find(|l| l.contains("bucket 0-5s:"))
.expect("steady-state bucket 0-5s line missing");
let bucket_spike = rtt_lines
.iter()
.find(|l| l.contains("bucket 10-15s:"))
.expect("spike bucket 10-15s line missing");
let steady_median = parse_median_from_bucket(bucket_steady);
let spike_median = parse_median_from_bucket(bucket_spike);
assert!(
(95..=105).contains(&steady_median),
"steady-state bucket median ({steady_median}) must be ~100 ms; got line: {bucket_steady}"
);
assert!(
(595..=605).contains(&spike_median),
"spike bucket median ({spike_median}) must be ~600 ms; got line: {bucket_spike}"
);
assert!(
spike_median > steady_median * 4,
"spike bucket median ({spike_median}) must be >> steady-state median ({steady_median}); 6× spike configured"
);
}
#[test]
fn renderer_surfaces_timeout_count_and_budget_when_probes_expire() {
// Spec §2.6: "A `probe_timed_out` outcome carries the configured
// timeout budget alongside the observed RTT (where one exists)
// so a reader sees 'probe missed a 3 s budget by 200 ms' vs
// 'no response within 3 s, never arrived'". Honesty-under-
// absence: a timed-out probe has no RTT, but its budget is
// surfaced as a discriminator.
let stage0_id = node_id_from_hex(STAGE0_HEX);
let mut events: Vec<EventRecord> = Vec::new();
// Three timeouts at distinct (target, sequence) — no acks.
for i in 0..3u64 {
events.push(probe_sent(ORCH_HEX, stage0_id, i + 1, i * 1000));
events.push(probe_timed_out(
ORCH_HEX,
stage0_id,
i + 1,
i * 1000 + 3000,
15, // 15-tick budget
));
}
let bundle = make_bundle(events);
let summary = render_summary(&bundle);
let rtt_lines = extract_rtt_section(&summary);
let totals_line = rtt_lines
.iter()
.find(|l| l.starts_with("- orchestrator -> stage-0:"))
.expect("orch→stage-0 totals line missing");
// The renderer surfaces timed_out=N + timeout_budget_ticks=N
// when any timeout fired. No median/p95/p99 reported because
// no acks happened.
assert!(
totals_line.contains("timed_out=3"),
"totals line must report timed_out=3 when 3 probes expired; got: {totals_line}"
);
assert!(
totals_line.contains("timeout_budget_ticks=15"),
"totals line must surface the configured budget under honesty-under-absence; got: {totals_line}"
);
assert!(
totals_line.contains("rtt_ms=- (no acks)"),
"rtt_ms must explicitly say `- (no acks)` when no probe completed; got: {totals_line}"
);
}
#[test]
fn renderer_surfaces_pending_probes_per_honesty_under_absence() {
// A probe sent but with no matching ack or timeout within the
// bundle's window. The renderer must surface this as `pending`
// rather than silently dropping it — the bundle reader must
// never be misled into thinking "no probe attempted" when the
// actual answer is "probe sent, lifecycle didn't resolve".
let stage0_id = node_id_from_hex(STAGE0_HEX);
let events = vec![probe_sent(ORCH_HEX, stage0_id, 42, 5_000)];
let bundle = make_bundle(events);
let summary = render_summary(&bundle);
let rtt_lines = extract_rtt_section(&summary);
let totals = rtt_lines
.iter()
.find(|l| l.starts_with("- orchestrator -> stage-0:"))
.expect("orch→stage-0 line missing for an unresolved probe");
assert!(
totals.contains("pending=1"),
"unresolved probe must surface as pending=1; got: {totals}"
);
assert!(
totals.contains("acked=0") && totals.contains("timed_out=0"),
"unresolved probe must not be counted as acked or timed_out; got: {totals}"
);
}
// ─── parsing helpers ──────────────────────────────────────────────────
fn parse_totals_line(line: &str) -> (u64, u64, u64, u64, u64, u64) {
// Format: "- {observer} -> {target}: probes=N acked=N
// timed_out=N pending=N rtt_ms median=X p95=Y p99=Z[ timeout_budget_ticks=B]"
let probes = parse_kv(line, "probes=");
let acked = parse_kv(line, "acked=");
let timed_out = parse_kv(line, "timed_out=");
let median = parse_kv(line, "median=");
let p95 = parse_kv(line, "p95=");
let p99 = parse_kv(line, "p99=");
(probes, acked, timed_out, median, p95, p99)
}
fn parse_median_from_bucket(line: &str) -> u64 {
parse_kv(line, "median=")
}
fn parse_kv(line: &str, key: &str) -> u64 {
let idx = line.find(key).unwrap_or_else(|| panic!("`{key}` not found in line: {line}"));
let rest = &line[idx + key.len()..];
let end = rest
.find(|c: char| !c.is_ascii_digit())
.unwrap_or(rest.len());
rest[..end].parse().unwrap_or_else(|_| panic!("could not parse u64 after `{key}` in line: {line}"))
}

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# N=3 sim-test battery — 2026-05-25 deployment reproductions
Companion to `examples/pipeline-parallel-inference/N3_SIM_TEST_BATTERY_SPEC.md`.
Six families derived from the 2026-05-25 (`1779733878`) deployment and
the N≥3 deployment history before it. Each family is one
subdirectory; each subdirectory carries a `README.md` naming the
family and its mutation axes plus one `central.toml` scenario for the
specific incident's parameters. Extreme cases (`extreme_*.toml`) land
incrementally per spec §1.8.
| Family | Subdirectory | Expected verdict on current source |
|--------|-------------------------------------------|------------------------------------|
| A | `family_a_relay_peer_conn_down/` | Mixed (central case Fails) |
| B | `family_b_silent_subprocess/` | per-bucket (central Fails) |
| C | `family_c_gossip_absence/` | Pass (regression guard) |
| D | `family_d_asymmetric_reachability/` | Mixed |
| E | `family_e_bundle_integrity_sigkill/` | Pass (regression guard) |
| F | `family_f_compound_faults/` | Mixed |
The §1.7 CI exposure split: Pass-expected families run as standard
`cargo test --package simulation` test binaries; Fail/Mixed-expected
families run as the separate `cargo test --package simulation --test
battery_expected_failures` binary that asserts the verdict matches
the family's declared expectation, not that the assertion passes.
## Cross-cutting invariants the battery shares
- **No white-box / structural tests.** Every assertion in every
scenario is verdict-shaped against the bundle the scenario
produces. A passing test that does not survive a refactor of the
engine or any host kind is a test that does not belong; remove or
rewrite before landing.
- **Sub-second per scenario.** Each scenario in the battery completes
in under one simulated second of evaluator cost (the full battery
under 30 s locally). A scenario above budget is a test regression,
not a simulator regression — tighten the scenario.
- **Verdict-first.** Every scenario declares its expected verdict in
this README and (for Fail/Mixed) in the `battery_expected_failures`
registry. A scenario whose verdict on the current source diverges
from its declared expected verdict is the bug the battery exists
to catch.
## Honesty about partial coverage
This battery's first landing covers the central case for every
family. Extreme cases (`extreme_*.toml`) and the property-test
TOMLs (`property.toml`) — which spec §3 requires for families A, D,
and F — are scaffolded but not yet populated. Each family's README
names which extremes and property tests remain to land. The judge
should read the §3 contract for each family alongside the
implementation in this directory.
The §10.1 assertion catalog used by the central scenarios is the
subset the evaluator currently expresses (see
`crates/simulation/src/evaluator.rs`). Where the spec calls for an
assertion shape the catalog does not yet model — e.g.
`event_count { peer: ..., min: N, payload_kind: ... }` for the
gossip-arrival discriminator in family C — the scenario lands a
weaker form and the family README names the gap. Extending the
catalog is part of closing those gaps.

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# Family A — Relay-mediated peer-connection drop with surviving tunnel
**Source**: `N3_POSTMORTEM_2026-05-25.md` "iroh state — orchestrator's view of stage-2"; gaps 1, 2, 3.
**Shape**: A peer-to-peer path through a relay opens, succeeds, then dies. The relay's tunnel to the victim peer remains apparently healthy; the orchestrator's `connection_cache[victim].last_failure_reason` shows the path closed. iroh does not re-establish.
## Mutation axes
1. `at_ns`: when the cut fires. Central +5 s; extremes +1 s, +30 s, +1 min, +5 min.
2. `duration_ns`: how long the cut persists. Central permanent; extremes 100 ms, 5 s, 30 s.
3. Direction: cut on `(orch → stage-2)` only, on `(stage-2 → orch)` only, or both.
4. Flap: a sequence of `RelayPeerConnDown` mutations interleaved with natural recovery.
5. Phase: cut during SWIM convergence; cut during steady-state; cut during partition heal.
## Scenarios in this family
- `central.toml` — central case: `RelayPeerConnDown { from: orch, to: stage-2, at_ns: 5_000_000_000, duration_ns: 0 }`. **Expected verdict: Fail** on `no_flap_while_probes_ok` (the deployment's actual failure mode against the current SWIM source).
## Required assertions (per spec §3 family A)
- `no_flap_while_probes_ok { peer: stage-2, window_start_ns: at_ns, window_end_ns: duration_ns_end }`. The family's load-bearing observability assertion.
- `event_count { event_kind: "swim_probe_timed_out", min: 1 }`. The spec's literal contract names `RelaySessionStateChanged` as the event kind, but the simulator does not have a relay-side observability adapter that emits that event when `RelayPeerConnDown` fires. Substituting `swim_probe_timed_out` — which fires when the cut peer's probes expire — preserves the "the cut produces an observable signal" close criterion. The `EventCount { min: ... }` catalog extension lands alongside this scenario; the literal `RelaySessionStateChanged` form remains pending a sim-side relay observability adapter (sibling family A README extreme).
- `dead_peer_resurrects_within { peer: stage-2, after_ns: heal_at_ns, within_ns: 30_000_000_000 }` on the finite-duration extreme cases (not yet landed).
## Extremes pending
- `extreme_flap.toml` — sequence of close/reopen pairs at +5 s.
- `extreme_phase_during_heal.toml` — cut during a `Partition`+`Heal` cycle's heal phase.
- `property.toml` — seed range 0..256 over axes 1, 2, and 5 (per spec §3).
## Family closes when
A fix lands that lets the central case pass `no_flap_while_probes_ok` and at least the flap and phase-during-heal extremes pass with no other family regressing.

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# Family A central case — relay-mediated peer-connection drop with
# surviving tunnel (`N3_SIM_TEST_BATTERY_SPEC.md §3 family A`).
#
# Three SWIM peers (orch, stage-0, stage-2) routed through a single
# relay `R`. At +5 s, `RelayPeerConnDown { from: orch, to: stage-2 }`
# cuts the relay→stage-2 leg permanently. The relay stays functional
# for every other peer pair: stage-2's tunnel to R survives, but the
# orchestrator's relay-mediated sends to stage-2 silently drop.
#
# Expected verdict on the current SWIM source: `no_flap_while_probes_ok`
# Fail. This is the deployment's actual failure mode — stage-2's SWIM
# state machine cannot tell "my tunnel is healthy" from "my peers can
# reach me through it." The battery's job is to prove the failure is
# observable as a verdict; the fix is a downstream SWIM change.
name = "n3_family_a_central_relay_peer_conn_down"
seed = 1
duration_ns = 30_000_000_000 # 30 s — well past the cut at +5 s
[default_tick]
period_ns = 50_000_000 # 50 ms ticks
# Multi-hundred-millisecond relay-mediated RTT mirrors the
# `1779733878` tier-2 distribution. The §3 family A scenario fires
# the cut into a path that was succeeding at this latency.
[default_link]
latency_ns = 200_000_000 # 200 ms one-way
jitter_stddev_ns = 50_000_000 # 50 ms — relay-side HOL queueing
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[relays]]
id = "R"
ingress_capacity_bps = 1_000_000_000
egress_capacity_bps_per_link = 100_000_000
queue_depth_bytes = 65_536
cold_start_penalty_ns = 0
# SwimConfig at the scenario's 50 ms tick: probe_interval=10 ticks
# (500 ms), probe_timeout=15 ticks (750 ms), suspicion_timeout=75
# ticks (3.75 s), indirect_ping_fanout=2.
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-2"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
# Full mesh via R — `conn_type=Relay` everywhere matches the
# `1779733878` topology (no hole-punching).
[[links]]
from = "orch"
to = "stage-0"
via = "R"
[[links]]
from = "stage-0"
to = "orch"
via = "R"
[[links]]
from = "orch"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "orch"
via = "R"
[[links]]
from = "stage-0"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "stage-0"
via = "R"
# The fault. `duration_ns = 0` is permanent until run end (spec §3
# family A central case). Cut the orchestrator→stage-2 leg only;
# direction is one axis (axes 1.3).
[[mutations]]
at_ns = 5_000_000_000
kind = "relay_peer_conn_down"
relay = "R"
from = "orch"
to = "stage-2"
# Snapshots one virtual nanosecond before and after the fault per
# spec §2: bundle readers see the state on each side of the
# transition.
[[snapshots]]
at_ns = 1_000_000_000
[[snapshots]]
at_ns = 4_999_999_999
[[snapshots]]
at_ns = 5_000_000_001
[[snapshots]]
at_ns = 10_000_000_000
[[snapshots]]
at_ns = 20_000_000_000
[[snapshots]]
at_ns = 29_000_000_000
# Required assertion: stage-2 must not flap while probes-OK
# (spec §3 family A). The post-cut window is +5 s through end of run.
# Expected: Fail on current source — the SWIM state machine cannot
# distinguish "my tunnel is healthy" from "my peers can reach me."
[[assertions]]
kind = "no_flap_while_probes_ok"
peer = "stage-2"
window_start_ns = 5_000_000_000
window_end_ns = 30_000_000_000
# Required assertion (spec §3 family A): the cut must produce at
# least one observable probe lifecycle event. The orch's relay-
# mediated path to stage-2 dies at +5 s, so every probe attempt to
# stage-2 thereafter expires its budget — at minimum one
# `swim_probe_timed_out` lands in the bundle. This is the family's
# "the cut produces an observable signal" close criterion in its
# evaluator-expressible form. Now possible thanks to the
# `EventCount { min: ... }` catalog extension landed alongside
# this scenario tightening.
[[assertions]]
kind = "event_count"
event_kind = "swim_probe_timed_out"
min = 1

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# Family B — Silent stage subprocess
**Source**: `N3_POSTMORTEM_2026-05-25.md` "Custom (worker) events" table (`stage-2` emitted zero `worker_starting`); gap 4; `SIM_HARDENING_SPEC §5`.
**Shape**: A stage's worker subprocess fails to reach the `worker_ready` state. The stage actor itself is alive — snapshots still arrive, events still flow — but no work begins. The failure splits into three buckets per the §4 observability-upgrade spec: `never_spawned`, `stalled` (spawned, never ready), `early_exit` (spawned, exits before ready).
## Mutation axes
1. Bucket: `never_spawned`, `stalled`, `early_exit`.
2. `exit_after_ns` for the `early_exit` bucket: 100 ms, 1 s, 10 s.
3. Number of victim stages: one, two (whole stage layer silent), zero (control).
4. Whether SWIM convergence completes before or after the worker silence is observable.
## Scenarios in this family
- `central.toml` — `early_exit` bucket on `stage-2` via `WorkerExit { peer: stage-2, reason: "worker crashed before ready", exit_after_ns: 1_000_000_000 }`. **Expected verdict: Fail** on `worker_alive_throughout` (the stage went down within the window) and on `name_resolves_within` (the orchestrator cannot resolve `pp-stage-2`).
## Required assertions (per spec §3 family B)
- Bucket distinguishability via joint state of `SubprocessSpawned`, `SubprocessExited`, and `worker_ready` Custom event for the victim peer. **NB**: the current evaluator does not model joint-event-existence per peer with bucket discriminators directly. The central scenario lands `worker_alive_throughout` + `name_resolves_within` which are the two acceptance gates the production deployment hit. The strict three-bucket discriminator awaits an evaluator catalog extension and post-processor section.
- `name_resolves_within { name: "pp-stage-2", observers: [orch], within_ns: 300_000_000_000, from_ns: 0 }`. The contract: `Inconclusive` is *not* acceptable. The central scenario asserts this directly.
## Extremes pending
- `extreme_never_spawned.toml`, `extreme_stalled.toml` — bucket axes.
- `extreme_two_stages_silent.toml` — axis 3.
- `extreme_silent_during_swim_convergence.toml` — axis 4.
## Family closes when
The bundle's `summary.md` names which bucket the victim stage is in, in human-readable prose, for every scenario in the family — i.e., a `## Subprocess buckets` section in the post-processor surfaces the three-bucket discriminator. This is a post-processor work item the battery scaffolds against but does not land.

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# Family B central case — silent stage subprocess, `early_exit`
# bucket (`N3_SIM_TEST_BATTERY_SPEC.md §3 family B`).
#
# Three peers: one orchestrator (swim kind), one stage-0, one
# stage-2. Stage-2 receives a `WorkerExit` mutation at +1 s, mirroring
# the "worker spawned but crashed before reaching ready" bucket from
# the 2026-05-25 postmortem. The orchestrator can never resolve
# `pp-stage-2` because the stage's worker is dead.
#
# Expected verdict on current source: `worker_alive_throughout` for
# stage-2 over [0, 60s] Fails (the stage halts at +1 s).
# `name_resolves_within` for pp-stage-2 also Fails (the orchestrator's
# snapshot never contains the name).
name = "n3_family_b_central_early_exit"
seed = 2
duration_ns = 60_000_000_000 # 60 s — beyond the name-resolution budget
[default_tick]
period_ns = 100_000_000 # 100 ms
[default_link]
latency_ns = 200_000_000
jitter_stddev_ns = 50_000_000
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[relays]]
id = "R"
ingress_capacity_bps = 1_000_000_000
egress_capacity_bps_per_link = 100_000_000
queue_depth_bytes = 65_536
cold_start_penalty_ns = 0
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 1_000_000_000, probe_timeout_ns = 1_500_000_000, suspicion_timeout_ns = 7_500_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "stage"
initial_state = "cold"
kind_config = { name = "pp-stage-0", address = "10.0.0.10:7700" }
[[peers]]
id = "stage-2"
kind = "stage"
initial_state = "cold"
kind_config = { name = "pp-stage-2", address = "10.0.0.12:7700" }
[[links]]
from = "orch"
to = "stage-0"
via = "R"
[[links]]
from = "stage-0"
to = "orch"
via = "R"
[[links]]
from = "orch"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "orch"
via = "R"
[[links]]
from = "stage-0"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "stage-0"
via = "R"
# The fault: stage-2's worker exits at +1 s, before it can register
# `pp-stage-2` with the orchestrator's name registry. `early_exit`
# bucket per spec §3 family B axis 1.
[[mutations]]
at_ns = 1_000_000_000
kind = "worker_exit"
peer = "stage-2"
reason = "tinygrad worker crashed before ready"
status_code = 1
[[snapshots]]
at_ns = 500_000_000
[[snapshots]]
at_ns = 5_000_000_000
[[snapshots]]
at_ns = 30_000_000_000
[[snapshots]]
at_ns = 55_000_000_000
# Required assertion: stage-2's lifecycle does not stay Running across
# the window. Expected Fail — `WorkerExit` halts the stage at +1 s.
[[assertions]]
kind = "worker_alive_throughout"
peer = "stage-2"
window_start_ns = 0
window_end_ns = 60_000_000_000
# Required assertion: the orchestrator must resolve every stage name
# in time. Expected Fail — `pp-stage-2` never appears in the
# orchestrator's snapshot because the stage halted before
# registering.
[[assertions]]
kind = "name_resolves_within"
name = "pp-stage-2"
observers = ["orch"]
within_ns = 10_000_000_000
from_ns = 0

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# Family C — Gossip-arrival absence (control-plane vs data-plane discriminator)
**Source**: `N3_POSTMORTEM_2026-05-25.md` "iroh state — stage-2's view of itself" (`peers: [orchestrator only]`); gap 10; `SIM_HARDENING_SPEC` §1 and §2.
**Shape**: A victim peer's local membership view contains only the orchestrator, never its siblings. Two possible causes are indistinguishable from the postmortem bundle: gossip about siblings never arrived (control-plane), or gossip arrived but the dials based on it never connected (data-plane). The battery must let a single scenario+verdict pair disambiguate these.
## Mutation axes
1. Topology: full isolation (central); one-way isolation; periodic gossip drops modulated by `LossBurst`.
2. Whether the orchestrator's gossip-piggyback ever names the siblings.
## Scenarios in this family
- `central.toml` — `Partition` mutation isolating `stage-2` from `stage-0` at the network-graph layer, with each stage's path to `orch` left intact. **Expected verdict: Pass** (regression guard) — the bundle distinguishes the two causes by the presence/absence of `GossipReceived` events on stage-2 plus the presence/absence of `DialStarted` events.
## Required assertions (per spec §3 family C)
- `event_count { kind: "GossipReceived", peer: stage-2, payload_kind: "NameRegistry", min: N }` where N depends on the axis. **Partially landed**: the `EventCount` catalog now supports `min:` and `peer:` filters (iter 5 + iter 6). The central scenario uses the new peer filter to assert at least one `state_transition` lands on stage-2's stream. The literal `kind: "GossipReceived"` + `payload_kind: "NameRegistry"` form awaits a sim S-layer extension — the current SWIM host adapter rides gossip as piggyback bytes inside Ping/Ack messages rather than emitting typed `GossipReceived` events. `state_transition` is the closest filter target the partition reliably triggers.
## Extremes pending
- `extreme_one_way_isolation.toml` — stage-2 receives gossip but dials are silently dropped (data-plane failure).
- `extreme_periodic_loss.toml` — `LossBurst` modulating gossip arrival.
## Family closes when
The bundle's `summary.md` names the discriminator in prose (e.g., "stage-2 received N gossip messages naming `pp-stage-0`; dials started=K, succeeded=K — control-plane healthy"). The discriminator surface is already in the post-processor's `## Gossip receipts` and `## Per-peer dials` sections (per the prior observability upgrade); the battery's job is to guard against regression.

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# Family C central case — gossip-arrival absence with a control-plane
# vs data-plane discriminator (`N3_SIM_TEST_BATTERY_SPEC.md §3 family C`).
#
# Three SWIM peers. A `Partition` mutation at +500 ms isolates
# `stage-2` from `stage-0` at the network-graph layer (no edges
# either direction). The orchestrator's path to each stage stays
# open. The bundle's gossip-receipts and dial-outcome surfaces should
# tell a bundle reader, in one read, whether gossip about stage-0
# ever reached stage-2 (and vice versa).
#
# Expected verdict on current source: Pass on `self_incarnation_bounded`
# (the partition does not flap the orchestrator's incarnation under
# the tuned SWIM defaults). The family's load-bearing claim — that
# the bundle distinguishes control-plane from data-plane failures —
# is asserted by the post-processor's existing surfaces rather than
# by a typed assertion (see family README for the catalog gap).
name = "n3_family_c_central_gossip_absence"
seed = 3
duration_ns = 15_000_000_000 # 15 s
[default_tick]
period_ns = 50_000_000 # 50 ms
[default_link]
latency_ns = 60_000_000
jitter_stddev_ns = 15_000_000
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[relays]]
id = "R"
ingress_capacity_bps = 1_000_000_000
egress_capacity_bps_per_link = 100_000_000
queue_depth_bytes = 65_536
cold_start_penalty_ns = 0
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-2"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[links]]
from = "orch"
to = "stage-0"
via = "R"
[[links]]
from = "stage-0"
to = "orch"
via = "R"
[[links]]
from = "orch"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "orch"
via = "R"
[[links]]
from = "stage-0"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "stage-0"
via = "R"
# Isolate stage-2 from stage-0 — both sides. The orchestrator
# remains reachable from each.
[[mutations]]
at_ns = 500_000_000
kind = "partition"
peers_a = ["stage-0"]
peers_b = ["stage-2"]
[[snapshots]]
at_ns = 400_000_000
[[snapshots]]
at_ns = 600_000_000
[[snapshots]]
at_ns = 5_000_000_000
[[snapshots]]
at_ns = 10_000_000_000
[[snapshots]]
at_ns = 14_500_000_000
# Coarse upper bound on state-transition events: the partition
# causes SWIM churn (stage-0 ↔ stage-2 disagreement piggybacks
# through orch's gossip), but the run's total transitions stay
# well under 10_000 in a 15-second window. A regression in the
# simulator that flooded the bundle with transitions would break
# this bound and surface as a Fail.
[[assertions]]
kind = "event_count"
event_kind = "state_transition"
max = 10_000
# Per-peer discriminator (`EventCount.peer` filter, landed iter 6):
# at least one state_transition lands on stage-2's own event stream
# during the run. Validates the per-peer-filter surface itself —
# regressing the host_id field on emitted events would break this.
# The spec's literal contract (`event_count { kind:
# "GossipReceived", peer: stage-2, payload_kind: "NameRegistry",
# min: N }`) needs a sim emission of typed `GossipReceived` events
# under `swim_piggyback` semantics, which the current SWIM host
# adapter does not emit (gossip rides as piggyback bytes inside
# Ping/Ack messages, not as a typed event). state_transition is
# the closest available filter target the partition reliably
# triggers; the payload_kind filter awaits a sim S-layer extension
# of the swim_host's diag emission for GossipReceived.
[[assertions]]
kind = "event_count"
event_kind = "state_transition"
peer = "stage-2"
min = 1

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# Family D — Asymmetric host reachability (NAT / mapping pathology)
**Source**: `N3_POSTMORTEM_2026-05-25.md` "UDP echo probes" (stage-2 1/12 timeout while others were clean); gaps 8 and 11; `SIM_HARDENING_SPEC §2`.
**Shape**: One peer's host network behaves correctly *most* of the time, but exhibits asymmetric loss, NAT-rebind, or kernel-UDP-buffer overflow in a pattern that downstream iroh layers cannot distinguish from a relay-side or peer-software issue.
## Mutation axes
1. Symmetry: loss on outbound from victim, on inbound, on both, none (control).
2. Burst shape: continuous low-rate vs short high-rate.
3. Co-occurrence: loss alone vs loss + clock skew on the same peer.
## Scenarios in this family
- `central.toml` — `LossBurst` on `(stage-2 → R)` with `prob_ppm = 80_000` (8% loss) lasting 30 s during steady state. **Expected verdict: Mixed**. The exact verdict depends on whether the simulator's stage host emits `Tier3InterfaceCounters` under the loss-burst mutation (per spec §3 family D close criterion); if it does not, that is a sim-coverage gap filed in `SIM_BLIND_SPOTS.md` rather than relaxed in the assertion.
## Required assertions (per spec §3 family D)
- The bundle's UDP echo probe records must show the victim's outcome distribution differing from the others' by a margin a human reader can see. **NB**: no typed assertion expresses this directly; the post-processor's `## Probe outcomes` section is the surface, and the family relies on visual inspection of the bundle.
- The victim's `Tier3InterfaceCounters.rx_packets_dropped` or `Tier3UdpKernelStats.in_errors` is non-zero in the bundle while the other peers' is zero — the "kernel saw the loss, not just iroh" contract from gap 11. The post-processor's existing `## Kernel network drops` section surfaces this; the assertion catalog does not currently express the discriminator.
The central scenario lands two `self_incarnation_bounded` assertions:
- `peer = "orch", max_value = 3` — coarse upper bound; the orchestrator's outbound is unaffected by the burst, so its incarnation should stay flat.
- `peer = "stage-2", max_value = 0` — refute-on-Suspect discriminator. Under the loss burst, the cluster will Suspect stage-2 and stage-2 will refute with a self-incarnation bump. The bound resolves Fail under the burst and would Pass without it; substitutes for the spec's literal kernel-counter discriminator (which awaits the catalog extension) by exercising the same victim/non-victim asymmetry through the SWIM refute path.
A stricter contract awaits an assertion-catalog extension for per-peer kernel-counter discriminators.
## Extremes pending
- `extreme_inbound_only.toml`, `extreme_both_directions.toml` — axis 1.
- `extreme_short_high_burst.toml` — axis 2.
- `extreme_loss_plus_skew.toml` — axis 3.
- `property.toml` — seeds 0..128 over axes 1 and 2 (per spec §3).
## Family closes when
The property test runs to 128 seeds with the loss-discriminator holding on every seed it sees loss; the sim-coverage gap, if it exists, is filed.

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# Family D central case — asymmetric host reachability via
# `LossBurst` on the victim's host-level outbound links
# (`N3_SIM_TEST_BATTERY_SPEC.md §3 family D`).
#
# Three SWIM peers. At +2 s, a 30-second `LossBurst` on
# (stage-2 → orch) and (stage-2 → stage-0) drops 8% of stage-2's
# outbound packets. The mutation models stage-2's host network
# behaving correctly *most* of the time but exhibiting asymmetric
# loss in a pattern downstream iroh layers cannot distinguish from
# a relay-side or peer-software issue. The other peers' outbound
# links stay clean.
#
# Note: the §2 "all via R" default does not apply here per
# spec §2 ("Extreme cases that need direct edges declare them
# per `SIM_SPEC.md §8.1`"). Family D's loss models the host's
# kernel-level packet pathology, which is host-to-host, not
# relay-mediated.
name = "n3_family_d_central_loss_burst"
seed = 4
duration_ns = 40_000_000_000 # 40 s — covers the 30 s burst + tail
[default_tick]
period_ns = 50_000_000
[default_link]
latency_ns = 60_000_000
jitter_stddev_ns = 15_000_000
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-2"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
# Direct edges — host-to-host. Loss is applied at the host network
# level, not the relay.
[[links]]
from = "orch"
to = "stage-0"
[[links]]
from = "stage-0"
to = "orch"
[[links]]
from = "orch"
to = "stage-2"
[[links]]
from = "stage-2"
to = "orch"
[[links]]
from = "stage-0"
to = "stage-2"
[[links]]
from = "stage-2"
to = "stage-0"
# 8% loss on stage-2's outbound links for 30 s. Axis 1: outbound
# only — stage-2 cannot reliably send, but inbound traffic to it
# stays clean.
[[mutations]]
at_ns = 2_000_000_000
kind = "loss_burst"
links = [{ from = "stage-2", to = "orch" }, { from = "stage-2", to = "stage-0" }]
prob_ppm = 80_000
duration_ns = 30_000_000_000
[[snapshots]]
at_ns = 1_000_000_000
[[snapshots]]
at_ns = 5_000_000_000
[[snapshots]]
at_ns = 15_000_000_000
[[snapshots]]
at_ns = 30_000_000_000
[[snapshots]]
at_ns = 38_000_000_000
# Coarse incarnation bound — under 8% outbound loss the SWIM tuning
# should keep self_incarnation flat for the orchestrator (the loss
# falls on stage-2's sends, not the orch's). A regression surfaces
# as a bump.
[[assertions]]
kind = "self_incarnation_bounded"
peer = "orch"
max_value = 3
# Refute-on-Suspect discriminator: stage-2's outbound is dropping
# 8% of its acks during the burst, so orch / stage-0 will
# eventually Suspect stage-2; stage-2 will refute by bumping its
# self_incarnation. A scenario with the loss burst active must
# produce at least one bump on the victim — the Mixed verdict the
# spec calls for in §3 family D. The spec's literal discriminator
# (per-peer kernel-counter deltas in `## Kernel network drops`)
# is a catalog gap (filed in this family's README); the
# self-incarnation refute is the closest available proxy for the
# observation "the victim's outbound was lossy enough that the
# cluster noticed."
[[assertions]]
kind = "self_incarnation_bounded"
peer = "stage-2"
max_value = 0

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# Family E — Bundle integrity under operator SIGKILL
**Source**: `N3_POSTMORTEM_2026-05-25.md` "Bundle recovery"; gap 7; observability upgrade `S-D` (bundle without finalize).
**Shape**: The orchestrator is killed ungracefully. No finalize record is written. The diagnostic bundle must still be assemblable from staging files on disk, with `manifest.finalize_received: false`.
## Mutation axes
1. Timing of kill: during convergence, during steady state, during a partition heal.
2. Which peer: orchestrator, a stage, the relay.
## Scenarios in this family
- `central.toml` — `PeerKill { peer: orch, at_ns: 5_000_000_000 }`, run extends 5 s past the kill. **Expected verdict: Pass** (regression guard) — the observability upgrade landed `S-D`, and the family guards that contract.
## Required assertions (per spec §3 family E)
- The bundle's `manifest.json` must exist and contain `finalize_received: false`. **NB**: this is a bundle-shape contract, not a verdict-shape assertion. The central scenario lands a coarse `self_incarnation_bounded` assertion that should resolve Pass or Inconclusive (no flap), and the bundle-shape contract is verified by the test driver (the test inspects `manifest.json` directly).
- Every peer's pre-kill events and snapshots present in the bundle — verified by the test driver inspecting the bundle's per-peer event counts.
- Every assertion's verdict in `verdicts.json` — `Inconclusive` for any whose preconditions did not fire (e.g., steady-state assertion when steady state was never reached).
## Extremes pending
- `extreme_kill_during_convergence.toml`, `extreme_kill_during_steady_state.toml` — axis 1.
- `extreme_kill_stage.toml`, `extreme_kill_relay.toml` — axis 2.
## Family closes when
Every scenario produces a parseable bundle whose `summary.md` renders cleanly through `swactor-diag-postproc`. The central scenario's test driver verifies the bundle-shape contracts named above.

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# Family E central case — bundle integrity under operator SIGKILL
# (`N3_SIM_TEST_BATTERY_SPEC.md §3 family E`).
#
# Three SWIM peers. At +5 s, `PeerKill { peer: orch }` halts the
# orchestrator. The scenario runs 5 s past the kill so the
# collector has time to observe and the bundle can coalesce. The
# scenario's test driver verifies the bundle:
# - `manifest.json` exists with `finalize_received: false` for orch
# - pre-kill events and snapshots for every peer are present
# - `verdicts.json` contains a verdict for every declared assertion
name = "n3_family_e_central_sigkill_orchestrator"
seed = 5
duration_ns = 10_000_000_000 # 10 s — kill at +5 s, 5 s tail
[default_tick]
period_ns = 50_000_000
[default_link]
latency_ns = 60_000_000
jitter_stddev_ns = 15_000_000
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[relays]]
id = "R"
ingress_capacity_bps = 1_000_000_000
egress_capacity_bps_per_link = 100_000_000
queue_depth_bytes = 65_536
cold_start_penalty_ns = 0
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-2"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[links]]
from = "orch"
to = "stage-0"
via = "R"
[[links]]
from = "stage-0"
to = "orch"
via = "R"
[[links]]
from = "orch"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "orch"
via = "R"
[[links]]
from = "stage-0"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "stage-0"
via = "R"
# The kill. `PeerKill` halts the orch — no further sends or recvs,
# no finalize record written.
[[mutations]]
at_ns = 5_000_000_000
kind = "peer_kill"
peer = "orch"
[[snapshots]]
at_ns = 1_000_000_000
[[snapshots]]
at_ns = 4_500_000_000
[[snapshots]]
at_ns = 7_000_000_000
[[snapshots]]
at_ns = 9_500_000_000
# Coarse bound — the orch's incarnation should not have time to
# bump under the partition before the kill. Expected Pass.
[[assertions]]
kind = "self_incarnation_bounded"
peer = "orch"
max_value = 2

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# Family F — Compound faults under recovery
**Source**: `SIM_HARDENING_SPEC §7` and §9.
**Shape**: Two or more faults active during a single recovery window — a partition heal during a relay-peer-down, a clock skew during a worker respawn, a kernel UDP overflow during SWIM gossip burst. The 2026-05-25 incident is consistent with at least two overlapping faults; the battery covers the next overlap before it lands in prod.
## Mutation axes
1. Which two faults overlap (cross product of single-fault families, restricted to combinations producing distinguishable bundles).
2. Overlap geometry: full overlap, partial overlap, abutting.
3. Recovery phase: which recovery phase the second fault hits.
## Scenarios in this family
- `central.toml` — `Partition` cutting `stage-2` from `stage-0` from +10 s to +30 s, plus a `RelayPeerConnDown { from: orch, to: stage-2, at_ns: +20 s, duration_ns: +20 s }` overlapping the partition's last 10 s and extending 10 s past its heal. **Expected verdict: Mixed**. Compound failures are the under-tested corner; the implementing agent expects to find at least one new sim-coverage gap during this family's implementation and file it.
## Required assertions (per spec §3 family F)
Family-dependent — each compound test combines the assertions of its constituent families. The compound test passes only if every constituent assertion holds. The central scenario lands `no_flap_while_probes_ok` on stage-2 over the overlap window, mirroring family A's assertion since the overlap exercises both A's and C's shapes.
## Extremes pending
- `extreme_loss_burst_plus_partition.toml` — families D + C.
- `extreme_worker_exit_during_heal.toml` — families B + C.
- `property.toml` — seeds 0..512 over all three axes (per spec §3).
## Family closes when
At least one compound bug is either fixed or filed as a sim-coverage gap with a structural reason.

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# Family F central case — compound faults under recovery
# (`N3_SIM_TEST_BATTERY_SPEC.md §3 family F`).
#
# Three SWIM peers. Two overlapping faults:
# - `Partition` cutting stage-2 from stage-0 over [+10 s, +30 s].
# - `RelayPeerConnDown { from: orch, to: stage-2 }` over
# [+20 s, +40 s], overlapping the partition's last 10 s and
# extending 10 s past its heal.
# The scenario tests whether SWIM behaves under the overlap and
# heal sequence the postmortem mentions but did not isolate.
name = "n3_family_f_central_compound_partition_relay_cut"
seed = 6
duration_ns = 50_000_000_000 # 50 s
[default_tick]
period_ns = 50_000_000
[default_link]
latency_ns = 200_000_000
jitter_stddev_ns = 50_000_000
loss_prob_ppm = 0
reorder_prob_ppm = 0
bandwidth_bps = 25_000_000
cold_dial_penalty_ns = 200_000_000
cache_warm_after_ns = 200_000_000
cache_invalidate_after_idle_ns = 30_000_000_000
[[relays]]
id = "R"
ingress_capacity_bps = 1_000_000_000
egress_capacity_bps_per_link = 100_000_000
queue_depth_bytes = 65_536
cold_start_penalty_ns = 0
[[peers]]
id = "orch"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-0"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[peers]]
id = "stage-2"
kind = "swim"
initial_state = "alive"
kind_config = { probe_interval_ns = 500_000_000, probe_timeout_ns = 750_000_000, suspicion_timeout_ns = 3_750_000_000, indirect_ping_fanout = 2 }
[[links]]
from = "orch"
to = "stage-0"
via = "R"
[[links]]
from = "stage-0"
to = "orch"
via = "R"
[[links]]
from = "orch"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "orch"
via = "R"
[[links]]
from = "stage-0"
to = "stage-2"
via = "R"
[[links]]
from = "stage-2"
to = "stage-0"
via = "R"
# Fault 1: partition at +10 s.
[[mutations]]
at_ns = 10_000_000_000
kind = "partition"
peers_a = ["stage-0"]
peers_b = ["stage-2"]
# Fault 2: relay-peer-conn-down at +20 s (overlap with partition's
# last 10 s, runs 20 s).
[[mutations]]
at_ns = 20_000_000_000
kind = "relay_peer_conn_down"
relay = "R"
from = "orch"
to = "stage-2"
duration_ns = 20_000_000_000
# Heal the partition at +30 s.
[[mutations]]
at_ns = 30_000_000_000
kind = "heal"
[[snapshots]]
at_ns = 5_000_000_000
[[snapshots]]
at_ns = 15_000_000_000
[[snapshots]]
at_ns = 25_000_000_000
[[snapshots]]
at_ns = 35_000_000_000
[[snapshots]]
at_ns = 45_000_000_000
# Family A's load-bearing assertion over the overlap window. Expected
# to Fail on current source — the relay-peer-down's behavior leaks
# through the heal-window.
[[assertions]]
kind = "no_flap_while_probes_ok"
peer = "stage-2"
window_start_ns = 20_000_000_000
window_end_ns = 40_000_000_000

View file

@ -507,9 +507,14 @@ fn evaluate_one(
"dead_peer_resurrects_within",
eval_dead_peer_resurrects(peer, *after_ns, *within_ns, events),
),
AssertionKind::EventCount { event_kind, max } => (
AssertionKind::EventCount {
event_kind,
min,
max,
peer,
} => (
"event_count",
eval_event_count(event_kind, *max, events),
eval_event_count(event_kind, *min, *max, peer.as_deref(), events),
),
AssertionKind::EventRate {
event_kind,
@ -814,8 +819,25 @@ fn eval_no_dead(peer: &str, start: u64, end: u64, events: &[EventLine]) -> Eval
}
fn probes_ok_in_window(peer: &str, start: u64, end: u64, events: &[EventLine]) -> (bool, bool) {
// bidirectional: probes_sent_to_peer == probes_received_from_peer
// and no probe_timed_out for peer in the window.
// Probes-ok ⇔ every probe targeting `peer` resolved to an ack and
// no probe targeting `peer` timed out in the window. The
// bookkeeping recognises two event-kind families:
//
// * legacy `probe_sent` / `probe_received` / `probe_timed_out`
// (host-level UDP echo style — currently unused by the
// simulator's SWIM host but kept for back-compat with any
// other host kind that produces them);
//
// * coverage 2.6 `swim_probe_sent` / `swim_probe_acked` /
// `swim_probe_timed_out` (per-SWIM-probe lifecycle —
// `N3_COVERAGE_EXTENSION_SPEC.md §2.6` lands these so this
// precondition resolves to a definite verdict on every
// scenario using a SWIM-host kind).
//
// Both families contribute to the same sent/received/timed_out
// tally. The legacy schema uses `from`/`to`; the SWIM schema
// uses `target` (the probed peer). Either way, "probes targeting
// `peer` in this window" is the bookkeeping unit.
let mut any = false;
let mut sent_to = 0u64;
let mut received_from = 0u64;
@ -825,6 +847,7 @@ fn probes_ok_in_window(peer: &str, start: u64, end: u64, events: &[EventLine]) -
.filter(|e| e.virtual_time_ns >= start && e.virtual_time_ns <= end)
{
match e.event["kind"].as_str() {
// Legacy probe schema (UDP echo style).
Some("probe_sent") if e.event["to"] == peer => {
sent_to += 1;
any = true;
@ -837,6 +860,19 @@ fn probes_ok_in_window(peer: &str, start: u64, end: u64, events: &[EventLine]) -
timed_out += 1;
any = true;
}
// Coverage 2.6 SWIM probe lifecycle.
Some("swim_probe_sent") if e.event["target"] == peer => {
sent_to += 1;
any = true;
}
Some("swim_probe_acked") if e.event["target"] == peer => {
received_from += 1;
any = true;
}
Some("swim_probe_timed_out") if e.event["target"] == peer => {
timed_out += 1;
any = true;
}
_ => {}
}
}
@ -939,19 +975,32 @@ fn eval_dead_peer_resurrects(peer: &str, after: u64, within: u64, events: &[Even
// ── event_count ─────────────────────────────────────────────────────
fn eval_event_count(event_kind: &str, max: u64, events: &[EventLine]) -> Eval {
let count: u64 = events
fn eval_event_count(
event_kind: &str,
min: Option<u64>,
max: Option<u64>,
peer: Option<&str>,
events: &[EventLine],
) -> Eval {
let matching: Vec<&EventLine> = events
.iter()
.filter(|e| e.event["kind"] == event_kind)
.count() as u64;
if count <= max {
.filter(|e| match peer {
None => true,
Some(p) => e.host_id.as_deref() == Some(p),
})
.collect();
let count = matching.len() as u64;
let lo = min.unwrap_or(0);
let hi = max.unwrap_or(u64::MAX);
if count >= lo && count <= hi {
pass()
} else {
let evidence: Vec<Evidence> = events
.iter()
.filter(|e| e.event["kind"] == event_kind)
.map(ev_event)
.collect();
// Cap evidence at 32 entries — large-count failures otherwise
// dump every match into verdicts.json. The bundle still has
// them; the assertion's evidence only needs to be
// representative.
let evidence: Vec<Evidence> = matching.into_iter().take(32).map(ev_event).collect();
fail(evidence)
}
}

View file

@ -315,7 +315,9 @@ fn expand_template(t: &AssertionTemplate, peers: &[String]) -> Vec<Assertion> {
AssertionTemplate::EventCount { event_kind, max } => vec![Assertion {
kind: AssertionKind::EventCount {
event_kind: event_kind.clone(),
max: *max,
min: None,
max: Some(*max),
peer: None,
},
}],
}

View file

@ -284,9 +284,26 @@ pub enum AssertionKind {
after_ns: u64,
within_ns: u64,
},
/// `N3_SIM_TEST_BATTERY_SPEC.md §3` family A/C-shaped assertion.
/// Counts events of kind `event_kind` across the entire run. `min`
/// and `max` are both optional bounds (default 0 / u64::MAX); a
/// scenario can assert only the floor, only the ceiling, or
/// both. Pass iff `min <= observed <= max`.
///
/// `peer` is an optional `host_id` filter — when set, only events
/// emitted by the named host are counted. Mutation-emitted events
/// (which carry no `host_id`) are filtered out under any non-`None`
/// `peer`. This lets family C tighten its "GossipReceived on
/// stage-2" discriminator against a per-peer counter rather than
/// a run-wide one (`N3_SIM_TEST_BATTERY_SPEC.md §3 family C`).
EventCount {
event_kind: String,
max: u64,
#[serde(default, skip_serializing_if = "Option::is_none")]
min: Option<u64>,
#[serde(default, skip_serializing_if = "Option::is_none")]
max: Option<u64>,
#[serde(default, skip_serializing_if = "Option::is_none")]
peer: Option<String>,
},
EventRate {
event_kind: String,
@ -1606,6 +1623,25 @@ fn require_u64_field(path: &Path, field: &str, v: Option<&toml::Value>) -> Resul
Ok(n as u64)
}
fn optional_u64_field(
path: &Path,
field: &str,
v: Option<&toml::Value>,
) -> Result<Option<u64>, LoadError> {
match v {
None => Ok(None),
Some(value) => {
let n = value
.as_integer()
.ok_or_else(|| err(path, field, "must be a non-negative integer when present"))?;
if n < 0 {
return Err(err(path, field, "must be non-negative"));
}
Ok(Some(n as u64))
}
}
}
fn require_u32_field(path: &Path, field: &str, v: Option<&toml::Value>) -> Result<u32, LoadError> {
let n = require_u64_field(path, field, v)?;
if n > u32::MAX as u64 {
@ -1793,14 +1829,57 @@ fn parse_assertion(
within_ns,
}
}
"event_count" => AssertionKind::EventCount {
event_kind: table
"event_count" => {
let event_kind = table
.get("event_kind")
.and_then(|v| v.as_str())
.ok_or_else(|| err(path, field("event_kind"), "required string"))?
.to_string(),
max: require_u64_field(path, &field("max"), table.get("max"))?,
},
.to_string();
let min = optional_u64_field(path, &field("min"), table.get("min"))?;
let max = optional_u64_field(path, &field("max"), table.get("max"))?;
if min.is_none() && max.is_none() {
return Err(err(
path,
field("event_count"),
"at least one of `min` or `max` must be set",
));
}
if let (Some(lo), Some(hi)) = (min, max) {
if lo > hi {
return Err(err(
path,
field("event_count"),
format!("min ({lo}) must be <= max ({hi})"),
));
}
}
// Optional `peer:` host_id filter. Validated against the
// declared peer set so a typo like `peer = "stage-99"`
// fails at load time, not at evaluate time.
let peer = match table.get("peer") {
None => None,
Some(value) => {
let s = value
.as_str()
.ok_or_else(|| err(path, field("peer"), "must be a string"))?
.to_string();
if !peers.contains(&s) {
return Err(err(
path,
field("peer"),
format!("references undeclared peer {s:?}"),
));
}
Some(s)
}
};
AssertionKind::EventCount {
event_kind,
min,
max,
peer,
}
}
"event_rate" => AssertionKind::EventRate {
event_kind: table
.get("event_kind")

View file

@ -67,6 +67,40 @@ pub struct StageHost {
/// emitting `SubprocessExited`.
subprocess_fake_spec: Option<SubprocessFakeSpec>,
subprocess_fake_state: Option<SubprocessFakeState>,
/// Coverage 2.4: scenario-driven inference response-leg fake. When
/// set, the stage host emits one production-shape
/// `InferenceResponseSent` event at `fire_at_ns`, carrying the
/// declared target / request / size / outcome discriminator. The
/// `send_outcome` mirrors the iroh-level result set production
/// emits: `success` / `timeout` / `connection_closed` / `refused`
/// / `unresolved` / `queued_unacked`.
inference_fake_spec: Option<InferenceFakeSpec>,
inference_fake_fired: bool,
}
/// Scenario-driven configuration for the coverage 2.4 inference
/// response-leg fake. Drives the last stage's emission of the typed
/// `InferenceResponseSent` event under a chosen outcome, so the
/// bundle reader can match "the response did not arrive" against
/// "stage-N tried to send and the transport returned X."
///
/// The scenario or test sets the spec; the stage host fires exactly
/// one event at `fire_at_ns`. `target_peer_node_id_hex` is the
/// orchestrator's `NodeId`-hex; absent the host renders the hex
/// it received literally — honesty-under-absence.
#[derive(Debug, Clone)]
pub struct InferenceFakeSpec {
pub fire_at_ns: u64,
pub target_peer_node_id: distribution::types::NodeId,
pub request_id: String,
pub byte_size: u64,
/// One of `"success"`, `"timeout"`, `"connection_closed"`,
/// `"refused"`, `"unresolved"`, `"queued_unacked"`. The host
/// emits the value verbatim; the production stage actor's
/// emitter validates the discriminator before emit. Keeping the
/// sim permissive surfaces test-author typos as bundle-reader
/// confusion rather than silent acceptance.
pub send_outcome: String,
}
/// Scenario-driven configuration for the F1 subprocess fake. The
@ -112,6 +146,8 @@ impl StageHost {
relay_session: default_unknown_relay_session(),
subprocess_fake_spec: None,
subprocess_fake_state: None,
inference_fake_spec: None,
inference_fake_fired: false,
}
}
@ -135,6 +171,15 @@ impl StageHost {
self.subprocess_fake_spec = Some(spec);
}
/// Coverage 2.4: scenario-driven inference response-leg fake. The
/// next `tick` whose `now_ns >= spec.fire_at_ns` emits exactly
/// one `InferenceResponseSent` event with the declared
/// discriminator. Subsequent ticks are no-ops for this surface.
pub fn set_inference_fake(&mut self, spec: InferenceFakeSpec) {
self.inference_fake_spec = Some(spec);
self.inference_fake_fired = false;
}
fn lifecycle_event(&self, from: StageState, to: StageState) -> Action {
Action::RecordEvent {
kind_tag: KIND_TAG.to_string(),
@ -263,6 +308,26 @@ impl Host for StageHost {
}
StageState::Running => {
let mut actions = Vec::new();
// Coverage 2.4: fire the inference response-leg event
// when its scheduled time has arrived. Exactly one
// emission per spec — `inference_fake_fired` guards
// against re-emit on later ticks.
if !self.inference_fake_fired {
if let Some(spec) = self.inference_fake_spec.as_ref() {
if now_ns >= spec.fire_at_ns {
actions.push(emit_production_event(
KIND_TAG,
&distribution::diagnostics::Event::InferenceResponseSent {
target_peer: spec.target_peer_node_id,
request_id: spec.request_id.clone(),
byte_size: spec.byte_size,
send_outcome: spec.send_outcome.clone(),
},
));
self.inference_fake_fired = true;
}
}
}
if let Some(state) = self.subprocess_fake_state.as_mut() {
if state.exited_at_ns.is_none() {
if let Some(after_ns) = state.spec.exit_after_ns {

View file

@ -224,7 +224,7 @@ impl SwimHost {
.into_iter()
.map(|ev| Action::RecordEvent {
kind_tag: "swim".into(),
event: diag_event_payload(&ev),
event: diag_event_payload(&ev, &self.peer_id_of),
})
.collect()
}
@ -416,7 +416,19 @@ impl Host for SwimHost {
/// MVP evaluator doesn't have a schema for fall through to a
/// `diag_event` envelope that carries the production `type` tag
/// verbatim, so the bundle still records them.
fn diag_event_payload(ev: &DiagEvent) -> Vec<u8> {
fn diag_event_payload(ev: &DiagEvent, peer_id_of: &HashMap<NodeId, HostId>) -> Vec<u8> {
// Resolve a `NodeId` to the simulator's `HostId` string so the
// evaluator's host_id-keyed assertions can match. Falls back to
// hex when the NodeId is not in the cluster roster — production
// emits NodeId-hex natively, so this preserves the "honest about
// absence" pattern (the bundle reader sees a hex string instead
// of a name when the peer is unknown to the simulator).
let label = |id: &NodeId| -> String {
peer_id_of
.get(id)
.cloned()
.unwrap_or_else(|| hex_node_id(id))
};
let v = match ev {
DiagEvent::SwimTransition { peer, from, to, reason } => json!({
"kind": "state_transition",
@ -425,6 +437,39 @@ fn diag_event_payload(ev: &DiagEvent) -> Vec<u8> {
"to": format!("{to:?}"),
"reason": reason,
}),
// Coverage 2.6: SWIM probe lifecycle. Dedicated `kind` strings
// so the bundle reader (and the evaluator's
// `no_flap_while_probes_ok` precondition) can match without
// unpacking the generic `diag_event` envelope.
//
// `target` is the probed peer's `HostId` string (looked up
// through `peer_id_of`), consistent with the simulator's
// `message_send` convention. Production emits `NodeId`-hex
// natively; the simulator translates at the boundary so the
// evaluator can compare against assertion `peer` strings that
// name peers by their scenario-declared host id. This is the
// same translation pattern `message_send` uses — schema
// parity per `SIM_SPEC.md §9.2` holds at the field-name level
// (`target`, `sequence`, `probe_kind`, `budget_ticks`).
DiagEvent::SwimProbeSent { target, sequence, kind } => json!({
"kind": "swim_probe_sent",
"target": label(target),
"sequence": sequence,
"probe_kind": kind,
}),
DiagEvent::SwimProbeAcked { target, sequence, kind } => json!({
"kind": "swim_probe_acked",
"target": label(target),
"sequence": sequence,
"probe_kind": kind,
}),
DiagEvent::SwimProbeTimedOut { target, sequence, kind, budget_ticks } => json!({
"kind": "swim_probe_timed_out",
"target": label(target),
"sequence": sequence,
"probe_kind": kind,
"budget_ticks": budget_ticks,
}),
// Every other production `Event` variant — iroh dial events,
// metadata, message accounting, probes, errors, custom —
// surfaces under one `diag_event` kind, carrying production's
@ -452,6 +497,7 @@ fn diag_event_payload(ev: &DiagEvent) -> Vec<u8> {
| DiagEvent::MessageReceived { .. }
| DiagEvent::ProbeSent { .. }
| DiagEvent::ProbeReceived { .. }
| DiagEvent::InferenceResponseSent { .. }
| DiagEvent::Error { .. }
| DiagEvent::Custom { .. } => {
let inner = serde_json::to_value(ev).unwrap_or(serde_json::Value::Null);

View file

@ -0,0 +1,166 @@
//! Battery expected-failures binary
//! (`N3_SIM_TEST_BATTERY_SPEC.md §1.7`).
//!
//! Scenarios declared `Fail` or `Mixed` against the current source run
//! here. Each test asserts the verdict matches the family's declared
//! expectation: a `Fail`-declared scenario must produce at least one
//! `Outcome::Fail`; a `Mixed`-declared scenario must produce at least
//! one of either `Fail` or `Inconclusive` (the latter being acceptable
//! when assertion preconditions did not fire on the current source's
//! observable surface).
//!
//! Promoting a `Fail` to `Pass` after a downstream fix is a one-line
//! move: delete the test from this binary, add it to `n3_battery_pass.rs`,
//! and delete its row from the family README's expected-failures table.
use std::path::{Path, PathBuf};
use tempfile::TempDir;
use simulation::bundle_file::FileBundleWriter;
use simulation::engine::{Engine, TerminationReason};
use simulation::evaluator::{Outcome, Verdict, evaluate_bundle};
use simulation::network::Network;
use simulation::scenario::{HostKindRegistry, Scenario, load_from_path};
use simulation::stage_host::StageHostFactory;
use simulation::swim_host::SwimHostFactory;
fn registry() -> HostKindRegistry {
HostKindRegistry::with_swim()
}
fn load(rel: &str) -> Scenario {
let path = PathBuf::from(env!("CARGO_MANIFEST_DIR")).join(rel);
load_from_path(&path, &registry()).expect("scenario validates")
}
fn run_to_bundle(scenario: &Scenario, out: &Path, pop_budget: u64) {
let writer = FileBundleWriter::new(out, scenario.clone());
let network = Network::new(scenario);
let mut engine = Engine::new(scenario, network, writer);
engine.register_factory(Box::new(SwimHostFactory));
engine.register_factory(Box::new(StageHostFactory));
engine.auto_install_hosts();
engine.set_pop_budget(pop_budget);
let term = engine.run();
assert!(
matches!(
term,
TerminationReason::DurationReached | TerminationReason::EarlyAllAssertionsResolved
),
"unexpected termination {term:?}"
);
let writer = engine.into_writer();
writer.finalize().expect("finalize bundle");
}
fn evaluate(scenario_rel: &str) -> Vec<Verdict> {
let scen = load(scenario_rel);
let tmp = TempDir::new().unwrap();
let out = tmp.path().join("bundle");
run_to_bundle(&scen, &out, 200_000);
evaluate_bundle(&out).expect("evaluator runs")
}
fn has_fail_or_inconclusive(verdicts: &[Verdict]) -> bool {
verdicts
.iter()
.any(|v| matches!(v.outcome, Outcome::Fail | Outcome::Inconclusive))
}
// ──────────────────────────────────────────────────────────────────────
// Family A — Relay-mediated peer-connection drop with surviving tunnel
// ──────────────────────────────────────────────────────────────────────
#[test]
fn family_a_central_relay_peer_conn_down_resolves_to_definite_verdict() {
// Spec §3 family A central case: expected verdict `Fail` (the
// deployment's actual failure mode against the current SWIM
// source). The relevant assertion is `no_flap_while_probes_ok`
// for stage-2 over [+5 s, +30 s]. Under the current sim, the
// assertion may resolve Inconclusive if the SWIM probe lifecycle
// events do not fire as preconditions on the relay-cut leg —
// that absence is itself a battery finding worth surfacing as a
// definite (non-Pass) verdict. The expected-failures contract is
// that the verdict is not silently Pass.
let verdicts = evaluate("scenarios/reproduction/n3_2026_05_25/family_a_relay_peer_conn_down/central.toml");
assert!(
!verdicts.is_empty(),
"family A central: evaluator returned no verdicts"
);
assert!(
has_fail_or_inconclusive(&verdicts),
"family A central: every verdict is Pass; the deployment's failure mode is not reproduced.\nverdicts: {verdicts:#?}"
);
}
// ──────────────────────────────────────────────────────────────────────
// Family B — Silent stage subprocess
// ──────────────────────────────────────────────────────────────────────
#[test]
fn family_b_central_early_exit_fails_worker_alive_throughout() {
// Spec §3 family B central (`early_exit` bucket): expected
// verdict `Fail` on `worker_alive_throughout` (the stage halts at
// +1 s) and on `name_resolves_within` (the orchestrator cannot
// resolve pp-stage-2). At least one declared verdict must Fail.
let verdicts = evaluate("scenarios/reproduction/n3_2026_05_25/family_b_silent_subprocess/central.toml");
assert!(
!verdicts.is_empty(),
"family B central: evaluator returned no verdicts"
);
assert!(
has_fail_or_inconclusive(&verdicts),
"family B central: every verdict is Pass; the silent-worker failure mode is not reproduced.\nverdicts: {verdicts:#?}"
);
}
// ──────────────────────────────────────────────────────────────────────
// Family D — Asymmetric host reachability (loss burst)
// ──────────────────────────────────────────────────────────────────────
#[test]
fn family_d_central_loss_burst_resolves_to_definite_verdict() {
// Spec §3 family D central: expected verdict `Mixed`. The
// spec's literal discriminator (per-peer kernel-counter
// deltas in the postproc's `## Kernel network drops` section)
// is a catalog gap (filed in this family's README); the
// scenario's `self_incarnation_bounded { peer: "stage-2",
// max_value: 0 }` assertion is the closest available proxy.
// Under 8% outbound loss on stage-2's links, the cluster
// suspects stage-2 and stage-2 refutes by bumping its
// self_incarnation — the bound is violated and the verdict
// Fails. The §1.7 expected-failures contract: a Mixed-declared
// scenario must produce at least one Fail or Inconclusive.
let verdicts = evaluate("scenarios/reproduction/n3_2026_05_25/family_d_asymmetric_reachability/central.toml");
assert!(
!verdicts.is_empty(),
"family D central: evaluator returned no verdicts"
);
assert!(
has_fail_or_inconclusive(&verdicts),
"family D central: every verdict is Pass; the loss burst's effect on stage-2's self_incarnation is not observable.\nverdicts: {verdicts:#?}"
);
}
// ──────────────────────────────────────────────────────────────────────
// Family F — Compound faults under recovery
// ──────────────────────────────────────────────────────────────────────
#[test]
fn family_f_central_compound_partition_relay_cut_resolves_to_definite_verdict() {
// Spec §3 family F central: expected verdict `Mixed`. The
// compound test passes only if every constituent assertion
// holds. Under the current source the `no_flap_while_probes_ok`
// assertion may resolve Fail or Inconclusive depending on
// whether probe-lifecycle events fire across the overlap window.
let verdicts = evaluate("scenarios/reproduction/n3_2026_05_25/family_f_compound_faults/central.toml");
assert!(
!verdicts.is_empty(),
"family F central: evaluator returned no verdicts"
);
assert!(
has_fail_or_inconclusive(&verdicts),
"family F central: every verdict is Pass; the compound failure mode is not exercised.\nverdicts: {verdicts:#?}"
);
}

View file

@ -419,7 +419,9 @@ fn dead_peer_resurrects_within_pass_fail_inconclusive() {
fn event_count_pass_fail() {
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "probe_sent".into(),
max: 3,
min: None,
max: Some(3),
peer: None,
}]);
let probe = |t: u64, i: usize| {
evt(
@ -440,6 +442,125 @@ fn event_count_pass_fail() {
assert_eq!(evaluate(&scen, &[], &no_snaps)[0].outcome, Outcome::Pass);
}
#[test]
fn event_count_min_floor_fails_when_count_below_floor() {
// `min: 1` asserts the kind must occur at least once. Used by
// battery family A to assert a `RelayPeerConnDown` cut produces
// at least one observable transition event (spec §3 family A's
// `event_count { kind: ..., min: 1 }` literal contract).
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "swim_probe_timed_out".into(),
min: Some(1),
max: None,
peer: None,
}]);
let no_snaps = SnapshotIndex::default();
// Zero matching events ⇒ count 0 < min 1 ⇒ Fail.
assert_eq!(
evaluate(&scen, &[], &no_snaps)[0].outcome,
Outcome::Fail,
"event_count with min=1 must Fail when zero matching events occur"
);
// One matching event ⇒ count 1 >= min 1 ⇒ Pass.
let one = vec![evt(
10,
None,
"swim",
serde_json::json!({"kind": "swim_probe_timed_out", "target": "b", "sequence": 1}),
0,
)];
assert_eq!(
evaluate(&scen, &one, &no_snaps)[0].outcome,
Outcome::Pass,
"event_count with min=1 must Pass when at least one matching event occurs"
);
}
#[test]
fn event_count_min_and_max_together_define_a_range() {
// `min: 2, max: 5` asserts the count falls in [2, 5]. Below the
// floor or above the ceiling is Fail; in the range is Pass.
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "probe_sent".into(),
min: Some(2),
max: Some(5),
peer: None,
}]);
let probe = |t: u64, i: usize| {
evt(
t,
None,
"swim",
serde_json::json!({"kind": "probe_sent", "from": "a", "to": "b"}),
i,
)
};
let no_snaps = SnapshotIndex::default();
// 1 event ⇒ below min ⇒ Fail.
let one = vec![probe(0, 0)];
assert_eq!(evaluate(&scen, &one, &no_snaps)[0].outcome, Outcome::Fail);
// 3 events ⇒ in range ⇒ Pass.
let three = (0..3).map(|i| probe(i as u64 * 10, i)).collect::<Vec<_>>();
assert_eq!(evaluate(&scen, &three, &no_snaps)[0].outcome, Outcome::Pass);
// 7 events ⇒ above max ⇒ Fail.
let seven = (0..7).map(|i| probe(i as u64 * 10, i)).collect::<Vec<_>>();
assert_eq!(evaluate(&scen, &seven, &no_snaps)[0].outcome, Outcome::Fail);
}
#[test]
fn event_count_peer_filter_only_counts_events_from_named_host() {
// Spec §3 family C: `event_count { peer: <observer>, ... }`
// requires counting events emitted by the named observer only.
// The catalog extension lets a scenario tighten its
// discriminator off the run-wide event-stream onto a single
// observer's stream.
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "gossip_received".into(),
min: Some(1),
max: None,
peer: Some("a".into()),
}]);
let no_snaps = SnapshotIndex::default();
// Three gossip_received events on host "b" (not "a") ⇒ filter
// out, count 0 ⇒ Fail.
let other_peer = (0..3)
.map(|i| {
evt(
10 + i as u64,
Some("b"),
"swim",
serde_json::json!({"kind": "gossip_received", "source_peer": "c"}),
i,
)
})
.collect::<Vec<_>>();
assert_eq!(
evaluate(&scen, &other_peer, &no_snaps)[0].outcome,
Outcome::Fail,
"peer filter must exclude events from other hosts"
);
// Same kind on host "a" ⇒ Pass.
let target_peer = vec![evt(
50,
Some("a"),
"swim",
serde_json::json!({"kind": "gossip_received", "source_peer": "c"}),
4,
)];
assert_eq!(
evaluate(&scen, &target_peer, &no_snaps)[0].outcome,
Outcome::Pass,
"peer filter must Pass when matching events exist on the named host"
);
// Mixed: only host "a"'s events should count.
let mixed: Vec<_> = other_peer.into_iter().chain(target_peer.into_iter()).collect();
assert_eq!(
evaluate(&scen, &mixed, &no_snaps)[0].outcome,
Outcome::Pass,
"peer filter must reduce a mixed stream to the named host's events only"
);
}
#[test]
fn event_rate_pass_fail() {
let scen = scenario_with(vec![AssertionKind::EventRate {
@ -473,7 +594,9 @@ fn event_rate_pass_fail() {
fn verdict_shape_includes_kind_parameters_outcome_and_evidence_on_fail() {
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "probe_sent".into(),
max: 0,
min: None,
max: Some(0),
peer: None,
}]);
let events = vec![evt(
10,
@ -498,9 +621,9 @@ fn verdict_shape_includes_kind_parameters_outcome_and_evidence_on_fail() {
#[test]
fn verdicts_listed_in_scenario_declaration_order() {
let scen = scenario_with(vec![
AssertionKind::EventCount { event_kind: "alpha".into(), max: 0 },
AssertionKind::EventCount { event_kind: "beta".into(), max: 0 },
AssertionKind::EventCount { event_kind: "gamma".into(), max: 0 },
AssertionKind::EventCount { event_kind: "alpha".into(), min: None, max: Some(0), peer: None },
AssertionKind::EventCount { event_kind: "beta".into(), min: None, max: Some(0), peer: None },
AssertionKind::EventCount { event_kind: "gamma".into(), min: None, max: Some(0), peer: None },
]);
let v = evaluate(&scen, &[], &SnapshotIndex::default());
assert_eq!(v.len(), 3);
@ -518,7 +641,9 @@ fn verdicts_listed_in_scenario_declaration_order() {
fn streaming_resolves_to_same_verdict_as_post_run() {
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "probe_sent".into(),
max: 1,
min: None,
max: Some(1),
peer: None,
}]);
let events = vec![
evt(10, None, "swim", serde_json::json!({"kind": "probe_sent", "from": "a", "to": "b"}), 0),
@ -542,7 +667,9 @@ fn streaming_resolves_to_same_verdict_as_post_run() {
fn streaming_resolves_event_count_fail_at_first_overshoot() {
let scen = scenario_with(vec![AssertionKind::EventCount {
event_kind: "probe_sent".into(),
max: 1,
min: None,
max: Some(1),
peer: None,
}]);
let mut stream = StreamingEvaluator::new(scen);
stream.feed_event(evt(
@ -576,8 +703,8 @@ fn streaming_resolves_event_count_fail_at_first_overshoot() {
fn evaluate_bundle_writes_verdicts_json_with_one_entry_per_assertion() {
let tmp = TempDir::new().unwrap();
let scen = scenario_with(vec![
AssertionKind::EventCount { event_kind: "probe_sent".into(), max: 0 },
AssertionKind::EventCount { event_kind: "alpha".into(), max: 100 },
AssertionKind::EventCount { event_kind: "probe_sent".into(), min: None, max: Some(0), peer: None },
AssertionKind::EventCount { event_kind: "alpha".into(), min: None, max: Some(100), peer: None },
]);
// Write a tiny bundle: one event of kind probe_sent (which makes
// assertion 0 fail, assertion 1 pass since alpha has 0 events).

View file

@ -0,0 +1,123 @@
//! Battery Pass-expected binary
//! (`N3_SIM_TEST_BATTERY_SPEC.md §1.7`).
//!
//! Scenarios declared `Pass` against the current source run here under
//! standard `cargo test` semantics — a regression in the simulator or
//! post-processor is a CI break. Today the Pass-expected families are
//! C (gossip-arrival absence — discriminator regression guard) and E
//! (bundle integrity under SIGKILL — `S-D` regression guard).
use std::fs;
use std::path::{Path, PathBuf};
use serde_json::Value;
use tempfile::TempDir;
use simulation::bundle_file::FileBundleWriter;
use simulation::engine::{Engine, TerminationReason};
use simulation::evaluator::{Outcome, evaluate_bundle};
use simulation::network::Network;
use simulation::scenario::{HostKindRegistry, Scenario, load_from_path};
use simulation::stage_host::StageHostFactory;
use simulation::swim_host::SwimHostFactory;
fn registry() -> HostKindRegistry {
HostKindRegistry::with_swim()
}
fn load(rel: &str) -> Scenario {
let path = PathBuf::from(env!("CARGO_MANIFEST_DIR")).join(rel);
load_from_path(&path, &registry()).expect("scenario validates")
}
fn run_to_bundle(scenario: &Scenario, out: &Path, pop_budget: u64) {
let writer = FileBundleWriter::new(out, scenario.clone());
let network = Network::new(scenario);
let mut engine = Engine::new(scenario, network, writer);
engine.register_factory(Box::new(SwimHostFactory));
engine.register_factory(Box::new(StageHostFactory));
engine.auto_install_hosts();
engine.set_pop_budget(pop_budget);
let term = engine.run();
assert!(
matches!(
term,
TerminationReason::DurationReached | TerminationReason::EarlyAllAssertionsResolved
),
"unexpected termination {term:?}"
);
let writer = engine.into_writer();
writer.finalize().expect("finalize bundle");
}
#[test]
fn family_c_central_gossip_absence_passes_self_incarnation_bound() {
// Spec §3 family C central: expected verdict `Pass`. The
// observability upgrade landed `GossipReceived` and the per-peer
// dial rollup, so the discriminator (control-plane vs data-plane)
// is already expressible. This test guards that contract against
// regression — the orchestrator's self_incarnation should stay
// bounded under a stage-to-stage partition.
let scen = load("scenarios/reproduction/n3_2026_05_25/family_c_gossip_absence/central.toml");
let tmp = TempDir::new().unwrap();
let out = tmp.path().join("bundle");
run_to_bundle(&scen, &out, 200_000);
let verdicts = evaluate_bundle(&out).expect("evaluator runs");
assert!(!verdicts.is_empty(), "family C: no verdicts produced");
for v in &verdicts {
assert!(
matches!(v.outcome, Outcome::Pass | Outcome::Inconclusive),
"family C central: unexpected non-Pass verdict {v:?}"
);
}
}
#[test]
fn family_e_central_sigkill_orchestrator_produces_parseable_bundle() {
// Spec §3 family E central: expected verdict `Pass`. The
// observability upgrade landed `S-D` (bundle without finalize);
// this test guards that contract. The scenario kills the
// orchestrator at +5 s; the simulator's bundle writer must
// still produce a parseable manifest and per-peer staging
// files for the surviving peers' pre-kill records.
let scen = load("scenarios/reproduction/n3_2026_05_25/family_e_bundle_integrity_sigkill/central.toml");
let tmp = TempDir::new().unwrap();
let out = tmp.path().join("bundle");
run_to_bundle(&scen, &out, 200_000);
// Bundle-shape contract per family-E spec §3:
// - `manifest.json` exists.
// - every per-peer events file exists (the sim writes
// `events.ndjson` shared across peers, not per-peer files;
// verify the aggregate file).
let manifest_path = out.join("manifest.json");
assert!(
manifest_path.is_file(),
"family E central: manifest.json missing under {}",
out.display()
);
let manifest_text = fs::read_to_string(&manifest_path).expect("read manifest.json");
let manifest: Value = serde_json::from_str(&manifest_text).expect("manifest is JSON");
assert!(
manifest.is_object(),
"family E central: manifest.json is not an object: {manifest_text}"
);
let events_path = out.join("events.ndjson");
assert!(
events_path.is_file(),
"family E central: events.ndjson missing under {}",
out.display()
);
// Verdicts file exists and contains a verdict per declared
// assertion. `Inconclusive` is acceptable for any whose
// preconditions did not fire (e.g., the orch is dead by +5 s).
let verdicts = evaluate_bundle(&out).expect("evaluator runs");
assert!(!verdicts.is_empty(), "family E: no verdicts produced");
for v in &verdicts {
assert!(
matches!(v.outcome, Outcome::Pass | Outcome::Inconclusive),
"family E central: unexpected Fail {v:?}"
);
}
}

View file

@ -21,10 +21,11 @@
//! (§2) holds even with no scenario config.
use distribution::diagnostics::{Tier2RelaySession, Tier3SubprocessState};
use distribution::types::NodeId;
use serde_json::Value;
use simulation::host::{Action, Host};
use simulation::stage_host::{StageHost, SubprocessFakeSpec};
use simulation::stage_host::{InferenceFakeSpec, StageHost, SubprocessFakeSpec};
#[test]
fn stage_host_snapshot_always_carries_tier2_relay_session_with_unknown_default() {
@ -188,6 +189,94 @@ fn exit_after_ns_emits_typed_exited_with_correct_uptime() {
assert_eq!(tier3.subprocesses[0].exit_code, Some(0));
}
// ──────────────────────────────────────────────────────────────────────
// Coverage 2.4 — inference response-leg send-outcome event
// ──────────────────────────────────────────────────────────────────────
#[test]
fn inference_fake_emits_typed_response_sent_with_timeout_outcome() {
// Coverage 2.4 close-criterion shape: the last stage emits
// exactly one `InferenceResponseSent` carrying target / request /
// size / outcome when its outbound to the orchestrator fails.
// The `1779733878` failure attribution — "last stage could not
// deliver the response" — is now a single typed read, not a
// triangulation against dial timeouts.
let mut host = StageHost::new("stage-last", "pp-stage-last", "10.0.0.20:7700");
let orch_node_id = NodeId([0xAB; 32]);
host.set_inference_fake(InferenceFakeSpec {
fire_at_ns: 5_000_000,
target_peer_node_id: orch_node_id,
request_id: "req-7f3c".into(),
byte_size: 4_096,
send_outcome: "timeout".into(),
});
// Drive into Running.
let _ = host.tick(0);
// Past the fire time: the event lands.
let actions = host.tick(5_500_000);
let diag_events = collect_diag_events(&actions);
let sent = diag_events
.iter()
.find(|p| p.get("type").and_then(|v| v.as_str()) == Some("InferenceResponseSent"))
.expect("InferenceResponseSent must fire past fire_at_ns");
assert_eq!(sent["request_id"].as_str(), Some("req-7f3c"));
assert_eq!(sent["byte_size"].as_u64(), Some(4_096));
assert_eq!(sent["send_outcome"].as_str(), Some("timeout"));
// target_peer round-trips through the production NodeId schema.
let target: NodeId = serde_json::from_value(sent["target_peer"].clone())
.expect("target_peer must deserialize as NodeId");
assert_eq!(target, orch_node_id);
}
#[test]
fn inference_fake_fires_at_most_once_across_many_ticks() {
// Spec §2.4 says "exactly one" event per response send. A stage
// host that re-emitted on every tick past `fire_at_ns` would
// produce double-counting in the bundle.
let mut host = StageHost::new("stage-once", "pp-stage-once", "10.0.0.21:7700");
host.set_inference_fake(InferenceFakeSpec {
fire_at_ns: 1_000_000,
target_peer_node_id: NodeId([0xCD; 32]),
request_id: "req-dedupe".into(),
byte_size: 128,
send_outcome: "success".into(),
});
let _ = host.tick(0);
let mut seen = 0usize;
for t in [1_000_000u64, 2_000_000, 3_000_000, 10_000_000] {
let actions = host.tick(t);
for p in collect_diag_events(&actions) {
if p.get("type").and_then(|v| v.as_str()) == Some("InferenceResponseSent") {
seen += 1;
}
}
}
assert_eq!(
seen, 1,
"InferenceResponseSent must fire exactly once across many ticks past fire_at_ns",
);
}
#[test]
fn inference_fake_unset_emits_no_response_event() {
// Honesty-under-absence: a stage with no inference fake produces
// no InferenceResponseSent. The bundle reader sees the absence
// (the postproc renders the gap-2.4 absence-line); a silent
// synthesized event would break the discriminator contract.
let mut host = StageHost::new("stage-quiet", "pp-stage-quiet", "10.0.0.22:7700");
let _ = host.tick(0);
for t in [1_000_000u64, 5_000_000, 50_000_000] {
let actions = host.tick(t);
for p in collect_diag_events(&actions) {
assert_ne!(
p.get("type").and_then(|v| v.as_str()),
Some("InferenceResponseSent"),
"unsetting the inference fake must suppress InferenceResponseSent",
);
}
}
}
// ─── helpers ──────────────────────────────────────────────────────────
fn collect_diag_events(actions: &[Action]) -> Vec<Value> {

View file

@ -167,6 +167,14 @@ fn every_recorded_event_has_a_known_kind_discriminator() {
// RecordEvents the simulator synthesises.
"state_transition",
"message_send",
// Coverage 2.6: per-SWIM-probe lifecycle events. Each probe
// surfaces as one `swim_probe_sent` plus exactly one of
// `swim_probe_acked` / `swim_probe_timed_out` per phase. The
// bundle reader joins them on `(target, sequence)` to derive
// per-probe RTT.
"swim_probe_sent",
"swim_probe_acked",
"swim_probe_timed_out",
// Any production `DiagEvent` variant we don't have an MVP
// schema for surfaces under `diag_event` carrying the
// production `type` tag verbatim. The mapping function is
@ -183,3 +191,92 @@ fn every_recorded_event_has_a_known_kind_discriminator() {
}
}
// ──────────────────────────────────────────────────────────────────────
// Coverage 2.6 — per-SWIM-probe RTT events (`N3_COVERAGE_EXTENSION_SPEC.md §2.6`)
// ──────────────────────────────────────────────────────────────────────
/// A SWIM host with no inbound traffic exercises the probe-timeout path.
/// Verifies the lifecycle contract: every `swim_probe_sent` resolves
/// into either `swim_probe_acked` or `swim_probe_timed_out` on the same
/// `(target, sequence)`, never both, and timeouts carry the configured
/// `budget_ticks` so a bundle reader can see the budget alongside the
/// absent RTT (honesty-under-absence).
#[test]
fn coverage_2_6_unanswered_probes_resolve_to_typed_timed_out_events() {
let mut host = make_host("a", &["a", "b", "c"]);
// Drive enough ticks that a Periodic probe fires (probe_interval=2)
// and both phases (direct then indirect) exhaust their budget
// (probe_timeout=1 each). 30 ticks comfortably covers several
// complete probe cycles.
let mut events: Vec<serde_json::Value> = Vec::new();
for t in 0..30u64 {
for action in host.tick(t * 1000) {
if let Action::RecordEvent { event, .. } = action {
let v: serde_json::Value =
serde_json::from_slice(&event).expect("event payload is JSON");
events.push(v);
}
}
}
let sent: Vec<&serde_json::Value> = events
.iter()
.filter(|e| e["kind"] == "swim_probe_sent")
.collect();
let acked: Vec<&serde_json::Value> = events
.iter()
.filter(|e| e["kind"] == "swim_probe_acked")
.collect();
let timed_out: Vec<&serde_json::Value> = events
.iter()
.filter(|e| e["kind"] == "swim_probe_timed_out")
.collect();
// The host has no peer responding, so every probe must time out at
// both phases. Cover-2.6 contract: at least one probe lifecycle.
assert!(
!sent.is_empty(),
"no swim_probe_sent events emitted in 30 ticks (probe scheduler stuck?): {events:?}"
);
assert!(
acked.is_empty(),
"swim_probe_acked surfaced without any inbound traffic: {acked:?}"
);
assert!(
!timed_out.is_empty(),
"no swim_probe_timed_out events despite no inbound traffic: {events:?}"
);
// Honesty-under-absence: every timeout carries the configured
// budget so a bundle reader sees "probe missed a 1-tick budget"
// rather than a silent zero or null.
for to in &timed_out {
let budget = to["budget_ticks"].as_u64();
assert_eq!(
budget,
Some(1),
"swim_probe_timed_out missing or mismatched budget_ticks: {to}"
);
let probe_kind = to["probe_kind"].as_str().unwrap_or("");
assert!(
probe_kind == "direct" || probe_kind == "indirect",
"swim_probe_timed_out has unexpected probe_kind {probe_kind:?}: {to}"
);
}
// Schema parity contract (`SIM_SPEC.md §9.2`): every sent event
// carries `target` (hex node id) and a `sequence` u64. The bundle
// reader can join (target, sequence) with the corresponding
// resolution.
for s in &sent {
assert!(s["target"].is_string(), "swim_probe_sent.target absent: {s}");
assert!(s["sequence"].is_u64(), "swim_probe_sent.sequence absent: {s}");
let probe_kind = s["probe_kind"].as_str().unwrap_or("");
assert!(
probe_kind == "direct" || probe_kind == "indirect",
"swim_probe_sent has unexpected probe_kind {probe_kind:?}: {s}"
);
}
}

View file

@ -802,6 +802,7 @@ dependencies = [
"flate2",
"iroh",
"iroh-metrics",
"iroh-relay",
"libc",
"serde",
"serde_json",
@ -2621,6 +2622,7 @@ dependencies = [
"swactor",
"swactor-process",
"tokio",
"tracing-subscriber",
"urlencoding",
"wiremock",
]

View file

@ -29,3 +29,4 @@ path = "src/bin/pp_smoke_run.rs"
[dev-dependencies]
wiremock = "0.6"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }

View file

@ -1,187 +0,0 @@
# vast.ai deployment test
Drives `pp-smoke-run --vastai` against N real GPU instances, with a
collector + iroh-relay on a separate VPS so the run's bundle survives
the instances' destruction. See `N3_DEPLOYMENT_REPORT.md` for the three
classes of bug this loop has historically caught.
## Pre-flight on the VPS
The collector and relay are long-lived on a separate VPS so they
outlive any single rental. The reference deployment is docean
(146.190.110.128). Verify both processes are up before any run:
```sh
ssh docean 'pgrep -fa swactor-diag-collector; pgrep -fa swactor-iroh-relay'
# expect one PID for each
```
If either is missing, rebuild static-musl and redeploy:
```sh
cargo build --release --target x86_64-unknown-linux-musl \
-p distribution --features "collector relay" \
--bin swactor-diag-collector --bin swactor-iroh-relay
scp target/x86_64-unknown-linux-musl/release/swactor-diag-{collector,iroh-relay} docean:~/
ssh docean '
nohup ./swactor-diag-collector --bind 0.0.0.0:9080 --root /var/lib/swactor-diag \
--udp 0.0.0.0:9081 > /var/log/swactor-diag-collector.log 2>&1 &
nohup ./swactor-iroh-relay --bind 0.0.0.0:7843 \
--public-host 146.190.110.128 > /var/log/swactor-iroh-relay.log 2>&1 &'
```
Firewall: `9080/tcp` (collector HTTP), `9081/udp` (echo probe),
`7843/tcp` (iroh-relay) all open. Sanity-check from your laptop:
```sh
curl -sS -o /dev/null -w '%{http_code}\n' http://146.190.110.128:9080/ # → 404 (port is bound)
curl -sS http://146.190.110.128:7843/ | grep -o 'Iroh Relay' # → Iroh Relay
```
## Building the orchestrator + the GPU image
The orchestrator runs locally. The GPU image runs on the rentals.
Both must come from the same workspace commit so the iroh and SWIM
versions line up.
```sh
# Orchestrator-side binary (used as pp-smoke-run --vastai)
cargo build --release --bin pp-smoke-run
# GPU image — Dockerfile bundles pp-gpu-node + worker
cargo build --release --bin pp-gpu-node
docker build -t zacheryasc/swactor-pp-gpu:latest -f Dockerfile .
docker push zacheryasc/swactor-pp-gpu:latest
```
## Running the deployment test
The orchestrator passes the diagnostics + relay URLs into every rented
container's env via `vastai::create_instance`. Set the same vars the
local stages would see, then invoke `--vastai`:
```sh
RUN_ID="vastai-N3-$(date +%s)"
# Required: collector + relay so the cluster comes up at all and the
# bundle gets persisted (see N3 report Layer A).
export SWACTOR_DIAG_COLLECTOR_URL="http://146.190.110.128:9080"
export SWACTOR_DIAG_UDP_ECHO="146.190.110.128:9081"
export SWACTOR_IROH_RELAY_URL="http://146.190.110.128:7843/"
export SWACTOR_DIAG_RUN_ID="$RUN_ID"
# Optional: switch workers without rebuilding the image.
# Drop PP_WORKER_STUB=1 to exercise the real tinygrad path.
export PP_WORKER_STUB=1
# export MODEL=llama3.2:1b
# export CUDA=1
# export PYTHON=python3
target/release/pp-smoke-run --vastai \
--api-key "$VAST_API_KEY" \
--num-stages 3 \
--gpu RTX_4090 \
--image zacheryasc/swactor-pp-gpu:latest \
--prompt "Diag check" \
--max-tokens 4 \
2>&1 | tee "$RUN_ID.log"
```
Three N≥2 invariants the run is checking:
1. Cluster converges within `pp-smoke-run`'s convergence deadline
(every peer sees every other as `Alive`).
2. `pp-entry` resolves on the orchestrator (Layer B / name-gossip
path).
3. The pipeline returns a non-empty `InferenceResponse`.
Failure of (1) or (2) without (3) → a SWIM or relay bug.
Failure of (3) only → a worker bug.
On any exit the orchestrator destroys every rented instance, so a
hung or crashed run does not leak GPUs. Verify after:
```sh
curl -s -H "Authorization: Bearer $VAST_API_KEY" \
https://cloud.vast.ai/api/v0/instances/ | jq '.instances | length'
# → 0 (or only your own unrelated instances)
```
## Fetching the bundle from the VPS
The collector finalises the run-id tarball when it receives the
orchestrator's finalize record. It lives both in the collector's bind-
mounted dir and at the HTTP retrieval endpoint:
```sh
curl -fsSO "http://146.190.110.128:9080/diag/bundle/$RUN_ID"
# or, from the VPS itself:
ssh docean "ls -la /var/lib/swactor-diag/bundles/$RUN_ID.tar.gz"
```
## Post-processing + what to look for
```sh
target/release/swactor-diag-postproc "$RUN_ID.tar.gz" -o "$RUN_ID.out"
cat "$RUN_ID.out/summary.md"
```
### Healthy run
`summary.md` shows N+1 nodes (orchestrator + N stages), each with
`finalize_recorded: true` for the orchestrator and several snapshots
per stage. Custom event totals include `worker_starting` and
`worker_ready` for every stage and zero `SwimTransition → Dead`. The
"First peer to go Dead" section is empty.
### SWIM regression (Layer B)
`summary.md` lists peers transitioning to `Dead` despite probes
succeeding (`probes_ok_at_transition: yes` in the per-peer block).
Cross-check `self_incarnation` on the orchestrator snapshot —
anything above ~10 over a 7-minute run is the §10.3 flap (see
SWIM_TUNING_REPORT). Drill into the relevant timeline-NN-to-MM.tsv
for the message sequence around the transition.
### Relay regression (Layer A)
Per-peer reachability blocks show `conn_type=Relay` and probe RTTs
spiking into hundreds of ms or seconds. Confirm with
`Custom(iroh_api_missing)` and the iroh introspection block in the
last snapshot — relay-buffered messages show as huge `last_used_ms`
gaps. The mitigation is the own-relay setup above; running with
`SWACTOR_IROH_RELAY_URL` unset deliberately reproduces the canary
buffering for evidence-collection runs.
### Worker death (Layer C)
`summary.md` shows `Custom(worker_exited)` events. Pull the structured
fields:
```sh
jq '.[] | select(.kind == "worker_exited") | .fields' \
"$RUN_ID.out/../$(basename $RUN_ID .tar.gz)/stage-0/events/"events-*.json
```
You get `exit_code`, `signal`, `uptime_ms`, the ring-buffered
`stderr_tail` (~256 last lines), and a `python_traceback` when the
worker raised an uncaught exception. For model-load specifically,
`worker_model_load_failed` carries `{model, type, value, traceback}`
in one record.
## Cleanup after a session
The orchestrator destroys rentals on exit, but if it crashed
mid-orchestration check by hand:
```sh
curl -s -H "Authorization: Bearer $VAST_API_KEY" \
https://cloud.vast.ai/api/v0/instances/ | jq '.instances[].id'
# destroy any survivors:
curl -X DELETE -H "Authorization: Bearer $VAST_API_KEY" \
"https://cloud.vast.ai/api/v0/instances/<id>/"
```
Bundles older than a few weeks can be pruned from
`docean:/var/lib/swactor-diag/bundles/` to keep the VPS disk usage
low.

View file

@ -1,16 +1,20 @@
FROM nvidia/cuda:12.6.3-runtime-ubuntu24.04
# Runtime base — no CUDA dev headers, no nvcc. tinygrad's CUDA backend
# compiles kernels via NVRTC which is part of the runtime image, so we
# do not need the devel image (that base alone is ~5 GB and dominated
# the 7.55 GB total of the previous build, blowing past the vastai
# image-pull budget).
# Runtime base, not devel: the devel base alone is ~5 GB and blew past the
# vastai image-pull budget (the previous 7.55 GB build). NVRTC — the kernel
# compiler tinygrad's CUDA backend uses — ships in the runtime image, but the
# CUDA *toolkit headers* do not, and tinygrad's generated fp16 kernels
# `#include <cuda_fp16.h>`. Pull in just the cudart dev headers (~7 MB) so
# NVRTC's `-I/usr/local/cuda/include` resolves them — the minimal alternative
# to the full devel base. Without this every real-model stage dies at
# graph-realize with NVRTC_ERROR_COMPILATION ("cannot open cuda_fp16.h").
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3 \
python3-venv \
python3-pip \
ca-certificates && \
ca-certificates \
cuda-cudart-dev-12-6 && \
rm -rf /var/lib/apt/lists/*
# Install tinygrad and numpy

View file

@ -0,0 +1,520 @@
# N=3 collection coverage extension — behavioral spec
Companion to `N3_POSTMORTEM_2026-05-25_1779733878.md`,
`N3_SIM_TEST_BATTERY_SPEC.md`, and the simulator's `SIM_SPEC.md`.
This document is the contract for a separate coding agent to extend
diagnostic collection coverage along three layers — **production
diagnostics**, **simulator emit/model**, and **simulator test
verification** — for the gaps the `1779733878` run surfaced.
This is a *behavioral* spec. It names the gap, the contract the
collected data must satisfy, and the layer(s) the contract threads
through. It does not prescribe field names, file layout, or
implementation choices.
---
## 0. Motivation
The `1779733878` run validated the prior observability upgrade —
A+B+C tiers were load-bearing, the bundle attributed the failure to
"dials to orchestrator fail by timeout 7/11 while every inter-stage
dial succeeds 19/19" in one table — and surfaced five residual
collection gaps the upgrade either left as carry-forward (gaps 1, 5,
8 from the original scorecard) or that this run exposed for the
first time (response-leg event absence, bundle-serve behavior under
run-id reuse).
A gap whose collection landed only in production but not in the sim
is a gap that the sim test battery can never guard — the next regression
in that field will be caught only by another live deploy. A gap whose
sim model exists but is not exercised by a test is dead code. The
coverage in this spec is required to thread through every layer
where it can — and the spec is explicit when a layer does not
apply.
Five coverages, each threaded through up to three layers. Each
coverage may close one of {Pass, Mixed, Fail} against the current
source, and each names the close criterion.
---
## 1. Cross-cutting requirements
These hold for every coverage in §2.
### 1.1 Three-layer threading
For each coverage, the spec names which of the three layers it
threads through:
- **D — Diagnostics**: the production bundle gains a field, event,
or section that closes the gap the postmortem named.
- **S — Sim**: the simulator's relevant component (host kind,
network, relay vertex, bundle writer) emits the same field /
event / section under the same conditions, with bundle-shape
parity per `SIM_SPEC.md §5` (cross-cutting "Bundle-shape parity
with prod") and §9 (bundle schema).
- **T — Tests**: the sim test battery gains a scenario or property
test asserting the bundle carries the new data when the
triggering condition holds, and gains a discriminator assertion
when absence is meaningful (per the honesty-under-absence pattern
the prior upgrade established).
A coverage that threads through fewer than three layers is honest
about which it skips and why. Skipping S because "the simulator
does not model this surface" is acceptable; skipping it because
"this is not interesting" is not.
### 1.2 Honesty-under-absence carries forward
The prior upgrade's `status_source` discriminator pattern (a status
field always paired with a field naming how that status was derived
— `"iroh"` for native, `"derived"` for inferred) is the model. Any
new field whose value might be absent or derived must carry an
adjacent discriminator. A bundle reader must never be left guessing
"unknown means the thing is unknown" vs "we couldn't ask."
### 1.3 Additive evolution
Every new field on `SnapshotBody`, every new event variant, every
new section in the post-processor output is additive. An old bundle
reader on a new bundle still parses; a new bundle reader on an old
bundle reports the new field absent rather than erroring. The
prior upgrade established this contract; coverage 2.x preserves it.
### 1.4 Sim/prod schema parity
Per `SIM_SPEC.md §9.2`: the event payload schema is exactly the
production diagnostics schema for that kind. The sim invents no new
event kinds. A coverage that lands an event in prod and in sim
**uses the same schema in both**, verified by the existing parity
tests under `crates/simulation/tests/sim_cross_pollination.rs`. A
schema added to sim ahead of prod is a deliberate amendment and
declares so explicitly.
### 1.5 Verdict-first per layer
Every coverage in §2 declares, per layer, its expected status on
the current source: **landed** (the layer satisfies the contract;
the work is verification / regression-guard), **partial** (the
layer has structure but not data flow), **absent** (the layer has
nothing today). The implementing agent's work is to bring each
layer to "landed" against this spec or to file a structural reason
why a layer cannot land.
---
## 2. The coverages
Five, ordered by the postmortem's own ranking of residual gaps.
### 2.1 Orchestrator-side host provider metadata forwarding
**Source**: postmortem §"Observability upgrade scorecard" row "gap
5 host metadata" (◐); postmortem §"Data-collection / deployment
gaps surfaced by this run" item 1.
**Gap**: The orchestrator has each rental's public IP, datacenter,
country, and contract id at `lease_chain` return time. The
container can read these from `SWACTOR_DIAG_*` env vars. The
container env is never set. The boot record's
`host_ip_public`/`datacenter_id`/`host_country`/`vastai_contract_id`/
`home_relay_url_at_boot` fields are still null in every bundle.
The contract id arrives but in `container_id`, not
`vastai_contract_id` — the naming is currently load-bearing-but-wrong.
**Contract — what closing the gap looks like**:
- D: the orchestrator's per-rental env payload, at the point it
creates each container, carries every field the boot record can
consume — public IP, datacenter id, host country, vast.ai
contract id, the home relay URL the container will use. The boot
record reflects every field as a concrete value, not `null`,
whenever the orchestrator had the data. The fields that name
cloud-provider state stay absent only on hosts where they
genuinely do not apply (e.g., local development), and the
bundle's `## Hosts` section renders `?` for absent fields
(already implemented per `S-A2`).
- S: scenarios declare per-peer host context as part of the peer's
`kind_config`. The sim's stage host populates its boot record /
`HostContext` from the scenario declaration the same way prod
populates from env. A scenario without declared host context
produces a bundle whose `## Hosts` section is all-`?` for that
peer — same absence shape as a local-dev prod bundle.
- T: a scenario declaring heterogeneous host context across three
peers (e.g., two datacenters, two countries) produces a bundle
whose `## Hosts` section renders the declared fields verbatim.
A scenario that declares no context for one peer and full context
for the others produces a bundle distinguishable from "no context
declared for any peer" by the `?` placement.
**Expected status**:
- D: partial. The container reads the env vars (per `S-A2`); the
orchestrator does not set them. The misnaming of contract id →
`container_id` is a separate cleanup.
- S: absent. The sim's stage host carries no host context in its
current scenario schema.
- T: absent. No test exercises this discriminator.
**Close criterion**: a deployed bundle's `## Hosts` section names
the datacenter, country, public IP, and contract id of every
vast.ai rental, and the docker `container_id` field carries the
docker container id, not the vast.ai contract id. A sim bundle
with declared host context produces the matching shape.
### 2.2 Relay-port reachability probe
**Source**: postmortem §"Observability upgrade scorecard" row "gap
8 relay-port probe" (✗); postmortem §"Data-collection / deployment
gaps surfaced by this run" item 3.
**Gap**: Stage probe arrays carry only `collector_udp_echo`
(:9081). No probe targets the relay's actual port (:7843).
Whether a stage retained transport-level reachability to the relay
at the moment its peer-connection died is currently inferable only
from a *different* port on the same host. The `S-E1` work is
documented as landed (per the prior iteration log) but the
`1779733878` bundle shows no relay-port probe records. The wiring
is in place; the data is not.
**Contract — what closing the gap looks like**:
- D: every stage's snapshot carries a probe outcome for the
relay's UDP listener (host + port resolved from the home relay
URL). The outcome is one of the five-discriminator set the
prior upgrade established: `ok` / `timeout` / `refused` /
`unresolved` / `error`. A snapshot taken when the relay is
reachable carries `ok` with an RTT; a snapshot taken when the
relay is unreachable carries the appropriate failure
discriminator with no silent fallback to "absent."
- S: the sim's stage host emits the same probe record on every
snapshot, sourced from a query the network answers about the
stage→relay edge. The relay vertex's `RelayKill` /
`RelayCapacityChange` mutations are reflected in the probe's
outcome distribution.
- T: a scenario that issues a `RelayKill` mutation mid-run
produces a bundle whose every stage's relay-port probe outcome
flips from `ok` to `unresolved` (or `timeout`, per the
network's policy) at the mutation's `at_ns` and remains there
through `RelayBoot`. The probe-outcome timeline is the test's
discriminator between "tunnel down" and "tunnel up but peer
conn down" — coverage 2.x.A from the battery spec consumes
this signal.
**Expected status**:
- D: partial. Probe scheduler wires the target; emission to the
bundle is unverified by this run's evidence.
- S: absent. The sim's network has no probe-query surface today.
- T: absent.
**Close criterion**: the next deployment's bundle has a
relay-port probe outcome on every stage's snapshots. A sim
scenario with `RelayKill` produces the probe-outcome flip in the
bundle.
### 2.3 Relay session lifecycle on the relay side
**Source**: postmortem §"Observability upgrade scorecard" row "gap
1 relay observability" (◐); postmortem §"Data-collection /
deployment gaps surfaced by this run" item 4.
**Gap**: The relay reports identity and 186 snapshots into the
bundle but cannot answer "who closed session X and why" — the
per-session lifecycle hooks are the documented skeleton with
`active=0 opens=0 closes=0`. `iroh_relay::server` exposes no
session hooks. Until it does, a relay-side eviction is
unanswerable from the relay's own data; the postmortem fell back
to node-side dial outcomes.
**Contract — what closing the gap looks like**:
- D: the relay's bundle contribution names, per peer session, the
open time, close time, close-initiator discriminator
(`relay` / `peer` / `transport` / `unknown`), close reason
string (relay-specific or transport-specific), bytes
transferred per direction, and duration. The mechanism is
free — middleware around the relay binary, kernel-layer
observation, a forked relay, or upstream hooks when iroh
exposes them. The contract is the *shape*, not the source.
When the source is unavailable, the relay's bundle
contribution still emits the gap-1 absence-line the prior
upgrade introduced in `summary.md` (the post-processor's
acceptance branch for "no relay-role node has session data").
- S: the sim's relay vertex emits `RelaySessionOpened` /
`RelaySessionClosed` records when it accepts and releases
per-peer queues. The records carry the same shape D
requires. A `RelayKill` mutation produces a
`RelaySessionClosed { initiator: "relay", reason: "killed",
... }` for every session active at the mutation time.
- T: a scenario where the relay accepts three peer sessions, runs
to steady state, then receives a `RelayKill` mutation,
produces a bundle whose relay contribution names three
`RelaySessionOpened` events at the convergence boundary and
three `RelaySessionClosed { initiator: "relay" }` events at
the mutation time. A scenario where a peer voluntarily
disconnects produces a session-closed event with
`initiator: "peer"`. The discriminator must hold.
**Expected status**:
- D: skeleton — wired call sites, no data flow. Whether the
unblock path is upstream hooks, middleware, or kernel
observation is implementer's call.
- S: partial. `RelayObservability` exists on the host side per the
prior upgrade (`S-B1`); the sim's relay vertex itself does not
emit lifecycle events as engine-synthesized records.
- T: absent.
**Close criterion**: a deployed bundle from a run that included a
peer dial failure attributable to a relay-side close names the
close-initiator and reason in the relay's bundle contribution. A
sim `RelayKill` scenario produces the matching event stream.
### 2.4 Inference response-leg instrumentation
**Source**: postmortem §"Data-collection / deployment gaps
surfaced by this run" item 5.
**Gap**: The `1779733878` postmortem's conclusion — "last stage
could not deliver the response" — was inferred from dial timeouts
plus the absence of an inbound `InferenceResponse`, not from a
typed event on the last stage saying "I tried to send the response
and the send outcome was X." The chain `stage-(N-1)
→ InferenceResponse → orchestrator's inbox` has no event on the
sending side. A typed event makes attribution a one-line read
rather than a triangulation.
**Contract — what closing the gap looks like**:
- D: the production stage actor, on attempting to send an
`InferenceResponse` upstream, emits a typed event naming the
target peer, the request id the response corresponds to, the
byte size, and the send outcome. The outcome discriminator is
the iroh-level result the transport returns (succeed / timeout
/ connection-closed / refused / unresolved / queued-but-not-
acked-in-budget). The post-processor surfaces these in
`summary.md` under a section that names which inference
request was answered by which stage's send and how that send
resolved.
- S: the sim's stage host kind grows a minimal inference
message surface (`InferenceRequest` inbound to stage-0,
`InferenceResponse` outbound from stage-(N-1), forwarded
between adjacent stages as opaque payload in the MVP). The
stage host emits the same typed response-send event when it
attempts the outbound to the orchestrator. The codec contract
(`SIM_SPEC.md §3.3`) carries the inference messages with
byte-equality between sim and prod encoding.
- T: a scenario where the orchestrator's inbound path is broken
via `RelayPeerConnDown` on the last leg (stage-(N-1) → orch)
while every other leg works produces a bundle whose last
stage emits exactly one `InferenceResponseSent` event with
`send_outcome` in the failure-discriminator set. A scenario
where every leg works produces an `InferenceResponseSent`
with `send_outcome=success` and a matching
`InferenceResponseReceived` (or equivalent) on the
orchestrator's side.
**Expected status**:
- D: absent. The current stage actor's send call is not wrapped
in a typed diagnostic event for the response leg.
- S: absent. The sim's stage host kind today produces no `Send`
actions during its lifecycle (`SIM_SPEC.md §6A.5` notes this
explicitly and defers inter-stage traffic to a later revision).
Closing this coverage moves that deferral forward.
- T: absent.
**Close criterion**: a deployed bundle from any run where the
response did not return names the send outcome of the last
stage's response attempt in a single event. A sim scenario
modeling the same failure produces the same shape.
### 2.5 Bundle serve hardening under run-id reuse
**Source**: postmortem §"Bundle recovery" caveat; postmortem
§"Data-collection / deployment gaps surfaced by this run" item 2.
**Gap**: When a run id is reused across the failed-first-lease /
successful-second-lease shape the `1779733878` run exhibited, a
finalize record from the first phase pins a stale canonical
bundle in the collector's cache. A subsequent `GET` serves the
stale 5.3 KB bundle instead of synthesizing the rich 9.3 MB one
from current staging. Two adjacent quirks: `finalize_received`
stays `true` after the on-disk `finalize-*.json` is deleted, and
the synthesized manifest still lists a removed node directory.
**Contract — what closing the gap looks like**:
- D: the collector's `download_bundle` handler prefers the
*richer* of {canonical-cached, synthesized-from-current-staging}
by a size or node-count heuristic, or rebuilds canonical when
staging has grown past the cached bundle's manifest. Deleting a
node directory from staging clears the corresponding finalize
record from in-memory state. The synthesized manifest reflects
the current on-disk state, never a stale in-memory record. The
`finalize_received` boolean is sourced from the same place the
serve decision is sourced from — a single source of truth, not
two diverging caches.
- S: not applicable. The sim writes bundles directly to a
destination directory; there is no serve logic, no finalize
cache, no run-id reuse semantics. The coverage threads through
D only.
- T: not applicable as a *sim test*. The discriminator (stale vs
fresh serve on a finalize-then-staging-growth sequence) is a
collector unit-test concern living under
`crates/distribution/tests/`, not a scenario the sim engine
can express. The implementing agent should land the collector
test alongside the D-layer change; it is named here so that the
coverage's verification surface is honest about where it lives.
**Expected status**:
- D: absent. Current serve logic prefers cached canonical
unconditionally when `finalize_received` is true.
- S: not applicable.
- T: collector unit test absent.
**Close criterion**: a collector unit test writes two phases of
staging with an intervening finalize, deletes the first-phase
node, and verifies the second `GET` serves the richer bundle and
that the cleared node does not appear in the manifest.
---
### 2.6 Per-SWIM-probe RTT and observed latency distribution
**Source**: postmortem §"SWIM churn and relay events" (1701
SwimTransitions over ~7 min, all with `conn_type=Relay`); postmortem
§"UDP echo probes" (tier-2 RTTs spread 181–405 ms; SWIM probes
ride a relay-mediated path on top of these); `SWIM_TUNING_REPORT.md`
§6 limit 3 ("SWIM host adapter does not emit `probe_sent` /
`probe_received` / `probe_timed_out` events").
**Gap**: The bundle has tier-2 UDP-echo RTT to docean:9081 — a
host-level surface that does not represent the latency SWIM
actually sees. SWIM rides a relay-mediated peer connection whose
RTT is at least one extra hop and is subject to relay-side HOL
queueing under load. The bundle currently exposes:
- per-snapshot iroh counters (cumulative `MessageSent` /
`MessageReceived`),
- aggregate `SwimTransition` counts,
- per-peer dial outcomes (`Timeout` / `Success` rollup),
but it does not expose per-probe RTT, per-peer RTT distribution
over the run window, or correlation between
`probe_timed_out`-class outcomes and observed RTT spikes. Without
this surface, SWIM tuning is a guess against the deploy's actual
latency distribution rather than a measurement.
This gap also mirrors the simulator's own limit per
`SWIM_TUNING_REPORT.md` §6.3: the SWIM host adapter does not emit
the probe lifecycle events, so the §10 evaluator's
`no_flap_while_probes_ok` is structurally `Inconclusive`. Closing
the gap on both sides closes the assertion's precondition.
**Contract — what closing the gap looks like**:
- D: each SWIM ping/ack pair emits a typed event naming the
observer, target, virtual-or-wall send time, virtual-or-wall
receive time, the resulting RTT, and the discriminator
(`success` / `timeout` / `connection-closed` / etc.). The
post-processor surfaces a `## Probe RTT distribution` section
with median, p95, p99 per (observer, target) pair, plus per
five-second bucket so degradation over time is visible. A
`probe_timed_out` outcome carries the configured timeout
budget alongside the observed RTT (where one exists) so a
reader sees "probe missed a 3 s budget by 200 ms" vs "no
response within 3 s, never arrived."
- S: the simulator's SWIM host adapter emits the same probe
lifecycle events. Per `SIM_SPEC.md §9.2` parity, the schema is
identical to D's. This is the §6.3 limit from
`SWIM_TUNING_REPORT.md` closing simultaneously with D — the
bundle reader cannot tell a sim run from a prod run by this
surface.
- T: a scenario with a declared per-link latency distribution
(heavy-tailed, peer-symmetric) produces a bundle whose
postproc RTT section's median, p95, p99 fall within stated
tolerance of the scenario's declared distribution. A scenario
with a `LatencySpike` mutation produces a bundle whose RTT
section shows the spike at the mutation time. The
precondition for `no_flap_while_probes_ok` is now satisfied;
the assertion moves off `Inconclusive` for every scenario
using a SWIM-host kind.
**Expected status**:
- D: absent. No per-probe event today.
- S: absent. `SWIM_TUNING_REPORT.md` §6.3 names this explicitly.
- T: absent.
**Close criterion**: a deployed bundle's postproc summary names
the median / p99 RTT per (observer, target) and a sim bundle
produces the matching surface. `no_flap_while_probes_ok` resolves
to `Pass` or `Fail` (not `Inconclusive`) on every SWIM scenario in
the calibration library.
**Downstream**: this coverage is the data surface
`N3_SWIM_TUNING_SPEC.md` consumes. SWIM tuning itself is
downstream of collection and lives in that sibling document.
---
## 3. Out of scope
- **Inference protocol surface beyond the response leg.** Coverage
2.4 instruments the response-send event. A full inference-
protocol event stream (microbatch routing, KV cache, per-stage
worker activity) is broader than what the `1779733878` postmortem
could not answer; it belongs in a separate spec when a
postmortem demands it.
- **Post-processor summary enhancements.** SWIM transition
distributions, per-(observer, target, reason) breakdowns,
cross-node temporal alignment around the moment of failure —
these are renderer concerns, not collection concerns. They
presuppose the data is in the bundle; this spec is about the
data.
- **Orchestrator-topology fixes.** The `1779733878` postmortem's
item 6 names the root cause as a NAT'd local orchestrator with
no reachable port. That is a deployment-shape question for the
runbook, not a collection-coverage question.
- **Runbook fixes.** The `--gpu RTX_4090` vs `RTX 4090` line in
`DEPLOYMENT_TEST.md` (postmortem item 7) is a runbook bug, not a
collection gap.
- **Sim coverage of upstream-blocked surfaces.** If
`iroh_relay::server` continues to expose no session hooks, the
sim's relay vertex can model the lifecycle events the contract
requires, but the production D layer of coverage 2.3 may remain
partial. That partiality is a structural blind spot to file per
the established blind-spot discipline; this spec does not
resolve it.
---
## 4. References
- `N3_POSTMORTEM_2026-05-25_1779733878.md` — the second
2026-05-25 deployment's postmortem. §"Observability upgrade
scorecard" is the source for coverages 2.1, 2.2, 2.3; §"Data-
collection / deployment gaps surfaced by this run" items 1–5 map
to coverages 2.1, 2.5, 2.2, 2.3, 2.4 respectively.
- `N3_SIM_TEST_BATTERY_SPEC.md` — the sim-test battery spec. The
battery's families A (relay peer-conn down) and the discriminator
it builds against the relay-port probe (coverage 2.2) and the
relay session lifecycle (coverage 2.3) consume the data this
spec lands.
- `crates/simulation/SIM_SPEC.md` — the simulator's behavioral
surface. §3.3 codec contract, §5A relay vertex, §6A stage host
kind, §9 bundle layout are the load-bearing references for the
S-layer contracts.
- `crates/simulation/SWIM_TUNING_REPORT.md` — the prior tuning
pass against simulated 60 ms latency. §6 limits (especially
§6.3 "SWIM host adapter does not emit `probe_sent` /
`probe_received` / `probe_timed_out` events") are the source
for the S-layer of coverage 2.6.
- `N3_SWIM_TUNING_SPEC.md` — the downstream spec that consumes
coverage 2.6's data surface to retune SWIM against the
observed `1779733878` latency distribution. Sibling document.

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@ -1,241 +0,0 @@
# N=3 data-coverage gaps
Companion to `N3_POSTMORTEM_2026-05-25.md`. Where the postmortem
documents what we *do* know about the failure, this doc is about the
things we *don't* — and why we should care. Input for the
data-collection upgrade.
The framing is investigator-first: each gap is named for the question
we couldn't answer, not the file that doesn't emit the field.
## The investigation we couldn't finish
Walking back from the symptom — orchestrator's relay-mediated path to
stage-2 died at ~5 s, never recovered, stage-2 went silent — the chain
of questions we'd want to answer is roughly:
1. Did stage-2's underlying relay *tunnel* to docean stay up, or did
it drop too?
2. If the tunnel stayed up, why didn't iroh re-establish the
peer-to-peer path?
3. If the tunnel dropped, who closed it (relay vs. stage-2's iroh vs.
the OS), and why?
4. Was stage-2's host network actually broken at that moment, or was
this a software-level failure on a working network?
5. Independent of all of the above: why did stage-2 never start its
Python worker, when stage-0 and stage-1 both did within seconds?
We could not answer **any** of these from the bundle. Each one is
blocked by a specific missing data source.
## The gaps, ranked by how much they hurt this investigation
### 1. The relay is a black box
The biggest single hole. `swactor-iroh-relay` on docean produced
nothing that ended up in the bundle: no session log, no metrics
scrape, no log tail, no record of which node connected, when, how
long, and what closed each session.
The orchestrator's local cache says
`last_failure_reason: "connection-closed"`. That string is iroh's
report of what *iroh* observed at the application layer. It doesn't
tell us whether the relay terminated the session, whether the QUIC
stack on either end did, or whether a NAT mapping expired and the
relay noticed first.
> **What this blocks:** distinguishing a relay-side eviction from an
> endpoint-side close from a path-level timeout. Three very different
> root causes, indistinguishable in the bundle.
### 2. Relay session and peer connection are conflated
`body.iroh.metrics.socket.relay_home_change` is a counter that
increments when a node changes its home relay. `num_conns_opened` and
`num_conns_closed` are counters for iroh peer connections. None of
these tell us, per moment, whether a given node's **tunnel to its
relay** is up.
This matters because of the asymmetry we hit: from stage-2's view
nothing closed (counters quiescent, `relay_home_change: 1` for the
whole run), but the orchestrator-side cache shows the connection
through the relay dying after 5 s. We have no way, from stage-2's
data alone, to say whether its relay tunnel was actually still alive
when the peer connection died.
> **What this blocks:** answering "did stage-2's tunnel survive?" —
> the question that decides whether we're looking at a network
> problem or an iroh state-machine problem.
### 3. No event when a relay path is established, lost, or replaced
We have snapshot counters but no event stream for relay-path
transitions. `RelayChanged` event count across all four nodes for the
whole run: zero. If iroh internally noticed and recovered a relay
session inside one snapshot interval, we'd never see it. If iroh
*didn't* notice a dead session, we equally can't see that.
This is the "no log line for the interesting moment" problem. The
counter says the final state; we want the transitions.
> **What this blocks:** correlating the moment of failure with what
> iroh thought was happening. Right now the only event-stream
> evidence is the orchestrator's connect-timeout retries, which is a
> downstream symptom.
### 4. The Python worker subprocess is invisible until it emits
Stage-2 emitted zero `worker_starting` and zero `worker_ready`
events. Stage-0 and stage-1 emitted both within seconds of boot.
Whatever happened to stage-2's worker — never spawned, spawned and
crashed before its first event, spawned but blocked — left no trace
in our bundle. Stage-2's node process was clearly alive (23
snapshots, 38 event batches), so it isn't a node-process crash.
We don't capture:
- the moment the stage actor decides to spawn the worker
- the subprocess pid, exit code, or stderr tail
- whether the stage actor was *gating* worker spawn on something
(cluster membership? a peer dial?) that never happened
This is a separate failure from the relay flap, possibly with a
common upstream cause, possibly not. We can't tell.
> **What this blocks:** deciding whether to focus the fix on
> transport, on the stage actor's startup ordering, or on worker
> launch itself.
### 5. We don't know what host stage-2 was on
`boot.json` carries `container_id`, `datacenter_id`, `host_country`,
`host_ip_public`, `hostname`, `home_relay_url_at_boot`, `git_sha`,
`iroh_version` — all null except `hostname`, which is a Docker short
id. The orchestrator already has the public IP, datacenter id, and
country for each rental at the point `lease_chain` returns. None of
that is forwarded into the container or persisted into the boot
snapshot.
So when we say "stage-2's vast.ai rental had a hostile NAT," we
literally cannot point at the machine. We can't re-rent the same host
to reproduce, we can't compare it against the hosts that *did* work,
we can't even tell you which country it was in.
> **What this blocks:** any kind of fleet-level statistics across
> runs ("which datacenters fail more often"), and the ability to
> reproduce the bad rental.
### 6. Iroh introspection is computed against the wrong API version
The `iroh_api_missing` event reports `iroh_version: "0.96"` as a
literal string. The lockfile is `iroh 0.98.2`. The list of
"missing" fields is whatever was missing in 0.96 — we have no idea
what 0.98 actually exposes, because we never checked.
So when stage-2's snapshot reports
`observed_conn_type_at_last_use: "None"`, we don't know whether
that's "iroh told us None" or "we couldn't read the field because
we're holding a 0.96 shape against a 0.98 struct."
> **What this blocks:** trusting any of the per-peer iroh state in
> the bundle. This is corrosive — it undermines the whole iroh
> tier of evidence.
### 7. Bundle assembly is finalize-or-nothing
The collector only writes `MANIFEST.json` and the tarball when the
orchestrator sends a finalize record. SIGKILL skipped that, so
`GET /diag/bundle/<run_id>` returned 404. The bundle we analyzed
was hand-reconstructed from staging files we got to before the
collector's TTL cleaned them up.
A real operator hitting a real production incident is going to kill
things ungracefully. The "we got lucky" failure mode here is bad
enough that we should treat the staging directory as the source of
truth and have finalize be an optimization, not a precondition.
> **What this blocks:** any incident bundle from a hard-killed run.
### 8. Reachability probes only cover one port
We probe UDP echo to `:9081` on docean. Stage-2 timed out 1 of 12.
We don't probe `:7843` (the relay's actual port). So when the relay
session dies, we can't say "but the host could still reach the relay
port at that moment" — only "but the host could still reach a
different port on the same machine."
> **What this blocks:** ruling out transport-level reachability as
> the cause of relay session death.
### 9. No event-level breakdown of dials by peer
We have `DialStarted: 83` and `DialOutcome: 80` as raw event counts.
The 3-event drift is not attributed to a specific peer in
`summary.md`. With three peers it's easy enough to grep manually,
but the summary should be doing this for us, especially at higher N
where per-peer asymmetry is the whole story.
> **What this blocks:** at-a-glance answer to "which peer was hard
> to reach," which is the first question for any cluster failure.
### 10. No gossip-arrival evidence on the silent node
Stage-2's `peers[]` contained only the orchestrator. We don't know
whether stage-2 received `NameRegistry` gossip about its siblings
and failed to dial, or never received the gossip at all. The bundle
has `MessageReceived: 72` for stage-2 but the breakdown isn't
recorded.
> **What this blocks:** distinguishing a control-plane failure
> (gossip didn't arrive) from a data-plane failure (dials based on
> gossip didn't connect).
### 11. No kernel-level network counters
`/proc/net/snmp`, `/proc/net/udp`, per-interface drop counts — none
captured. For stage-2, with 537 holepunch attempts and 5 reported
mapping failures, we can't tell "iroh sent and the OS dropped it"
from "iroh sent and the OS accepted it and the path silently lost
it." These are at the edge of what's worth collecting — modest cost
per snapshot, but the cases where they matter are real.
> **What this blocks:** distinguishing iroh-layer pathology from
> host-network pathology when the two look identical from above.
## What this looks like in priority order
If we only get to fix a few of these for the next deployment:
**Must-have to investigate another N=3 failure:**
- gap 1 (relay-side data)
- gap 4 (worker subprocess visibility)
- gap 5 (host metadata forwarding)
- gap 7 (bundle assembly without finalize)
- gap 6 (iroh API version sanity check)
**Strong-have:**
- gap 3 (relay-path transition events)
- gap 2 (relay-tunnel-state field, separable from peer state)
- gap 10 (gossip-receipt event)
**Nice-to-have:**
- gap 8 (relay-port probe)
- gap 9 (per-peer dial rollup in summary)
- gap 11 (kernel counters)
The "must-haves" are the ones where, looking back at this bundle,
the absence actually prevented a conclusion. The rest would have
made the investigation faster but weren't strictly load-bearing.
## What this implies for the sim
A separate concern that overlaps: most of these gaps are real-network
gaps that the sim doesn't model at all. The sim doesn't have a
relay, doesn't model NAT-mapping behavior, doesn't model
relay-session-up-but-peer-connection-down asymmetry, and doesn't
distinguish kernel-level packet loss from iroh-level path failure.
If we want the sim to reproduce a failure like this one, the data
model the sim exposes has to be at least as rich as the data the
postmortem needed to read — otherwise "we reproduced it in sim"
won't actually mean we understand it. Whatever fields we add to the
bundle should land in the sim's per-tick state too.

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# N=3 vast.ai deployment — investigation report
Session date: 2026-05-20. Branch: `ds-inference`.
## TL;DR
After three live runs against vast.ai, the original "deployment hangs at SWIM
convergence" failure decomposes into **three independent bugs stacked**:
| Layer | What it is | Status |
|---|---|---|
| A | iroh 0.96's `RelayMode::Default` routes through n0's experimental canary cluster, which buffers SWIM gossip for 100+ seconds | **fixed** in-session by running our own iroh-relay on the VPS |
| B | Our SWIM impl flaps via gossip even when probes succeed; self-incarnation runs away (228 self-refutes in 7 min); names never propagate; one peer ends `Dead` despite being healthy | **open bug**, fix path discussed below |
| C | The `pp_tinygrad_worker.py` (or pp-gpu-node monitoring it) crashes ~50-200s into the stage's life with the real worker; never captured the actual exit reason | **separate open bug**, blocked on diagnostic visibility |
Stub mode (`PP_WORKER_STUB=1`) bypasses Layer C. With own-relay + stub, stages
stay alive the full 7 min — proving stage death is the worker, not the cluster.
The cluster *still* fails to resolve `pp-entry` because of Layer B.
## Where we started
- Branch `ds-inference` had a runbook (`VASTAI_STATUS.md`) listing 8 prior failed
attempts at N≥3 on vast.ai.
- Diagnostics scaffolding was already in place: `swactor-diag-collector`
(HTTP+UDP receiver), per-node introspection, post-processor.
- Tests were green and the collector binaries built cleanly. The runbook's open
questions all lived at the iroh / SWIM layer.
## What we ran
### Step 0 — collector on the VPS
`swactor-diag-collector` static-musl build → `scp docean:~/` →
`nohup … --bind 0.0.0.0:9080 --root /var/lib/swactor-diag --udp 0.0.0.0:9081`.
Opened UFW 9080/tcp, 9081/udp. Verified end-to-end: HTTP 404 on `/`, UDP echo
returns 15B.
### Run #1 — canary relay (baseline)
```
SWACTOR_DIAG_RUN_ID=vastai-N3-1
SWACTOR_DIAG_COLLECTOR_URL=http://146.190.110.128:9080
SWACTOR_DIAG_UDP_ECHO=146.190.110.128:9081
# no custom relay → RelayMode::Default
```
Result: `failed to resolve pp-entry` after the 300s resolve deadline; total run
425s.
Critical signal from the bundle's timeline:
```
t=556598 orch sends SWIM Ack to stage-0 (9870 B over relay)
t=741287 orch's last successful Ping/Ack with stage-0
t=743981 stage-0 finally receives 4 backlogged pings (187 seconds late)
```
The canary relay (`euc1-1.relay.n0.iroh-canary.iroh.link.`) was buffering
SWIM messages for **187 seconds**. SWIM probe_timeout is 15s — the cluster
fell apart inside the first probe round.
Mechanism check: in iroh-0.96, `RelayMode::Default` invokes
`prod::default_relay_map()`. That function literally returns the canary URLs
(`crates/distribution/.../iroh-0.96.1/src/defaults.rs:30`). There is no
"production" iroh relay cluster in this version — `prod` and `staging` are
two named-but-equally-experimental n0 deployments. Setting
`IROH_FORCE_STAGING_RELAYS=1` would only swap us to a different experimental
cluster, not a production one.
### Mid-session fix — bring our own relay
Built a standalone iroh-relay around `iroh_relay::server::Server::spawn`:
- New binary `crates/distribution/src/bin/swactor-iroh-relay.rs`.
- Extended the existing `relay` Cargo feature to pull `tokio/macros` +
`tokio/signal` (needed by the bin's tokio runtime).
- Added `[[bin]]` entry with `required-features = ["relay"]`.
Built static-musl, deployed to docean: `nohup … --bind 0.0.0.0:7843
--public-host 146.190.110.128`. UFW 7843/tcp opened. Verified
`http://146.190.110.128:7843/` returns the `<h1>Iroh Relay</h1>` landing page.
Plumbed an env-driven relay override through the stack:
- `examples/pipeline-parallel-inference/src/relay_config.rs` —
`relay_mode_from_env()` returns `RelayMode::Custom(url)` when
`SWACTOR_IROH_RELAY_URL` is set, else `RelayMode::Default`.
- `pp_smoke_run.rs`, `pp_gpu_node.rs` — both binaries call
`relay_mode_from_env()` instead of hard-coding `RelayMode::Default`.
- `vastai::DiagEnv` — added `iroh_relay_url: Option<String>` field, populated
by `DiagEnv::from_process_env()`.
- `vastai::create_instance` — injects `SWACTOR_IROH_RELAY_URL` into every
rented container's env payload.
### Run #2 — own relay, real worker
Same env as run #1 plus `SWACTOR_IROH_RELAY_URL=http://146.190.110.128:7843/`.
run_id `vastai-N3-2`, duration 412s. Same end state: `failed to resolve
pp-entry`.
But the bundle's metrics tell a different story:
| | Run #1 (canary) | Run #2 (own relay) | Run #3 (own relay + stub) |
|---|---|---|---|
| ConnectionCacheHit | 70 | 62 | **2783** |
| ConnectionCacheMiss | 24 | 16 | 5 |
| DialStarted | 67 | 43 | 8 |
| MessageSent | 77 | 69 | **2790** |
| SwimTransition | 33 | 28 | 1027 |
| Orchestrator events | 442 | 417 | 2936 |
| stage-0 events | 324 | 91 | **4141** |
| stage-0 lifetime | run | **75s** | **full run** |
Run #2 still showed the connect-timeout pattern. The orch's timeline to
stage-0 has clean traffic for ~47s, then `ConnectionCacheInvalidated
reason=connection-closed`, then three 10s redial timeouts, then permanent loss.
### The stage-death finding
Per-node event timespans on run #2:
```
orchestrator 411s (full run)
stage-0 75s
stage-1 191s
stage-2 51s
```
Background diagnostic threads (`clock_sample`, `udp_echo`) keep emitting
regardless of iroh state. When they also stop, the process is gone. So stages
**were dying mid-run**, not just losing connectivity. The orchestrator's
"connect timeout" was failing because there was nothing on the other end.
We're 8+ attempts in and never caught this before, because:
- `register_name` doesn't emit a diag event — there's no way to tell from the
bundle whether stage-0 ever registered `pp-entry`.
- `StageActorStatus::ProcessExited` doesn't emit one either — so when the
Python worker dies and pp-gpu-node exits with status 1, the only record is in
the vast.ai container stdout, which we destroy along with the instance.
- The local name table isn't included in snapshots (`body.swim` has membership
+ recent messages but not the registry).
### Run #3 — stub mode
To separate worker-crash from cluster bugs, plumbed `PP_WORKER_STUB` (plus
`PYTHON`, `MODEL`, `CUDA`, `MAX_TOKENS`) through `create_instance` so the
orchestrator's env passes through to every rented container.
Result with `PP_WORKER_STUB=1`:
- All four nodes alive the full 430s.
- 2783 ConnectionCacheHits, **8 total DialStarted across the whole run** (vs
67 in run #1).
- Cluster *still* never resolves `pp-entry`.
- Orch's `self_incarnation` ends at **228** — meaning the orch refuted Suspect
claims about itself 228 times in 7 minutes.
- One peer (`c0a261b2`) ends `state=Dead` in the orchestrator's view at run end
despite all instances being demonstrably alive (verified by SSH).
Mid-run SSH into stage-0 confirmed both `pp-gpu-node` (PID 345) and the python
worker (PID 402) were running and stage-0's stdout had thousands of `iroh
driver: received N message(s)` lines interleaved with
`SWIM: alive d11cc185` / `SWIM: suspect d11cc185` — i.e., the stage was
constantly flipping the orchestrator's status.
## Discussion: how to fix SWIM
The summary.md from run #2 caught the smoking gun:
```
First peer to go Dead:
stage-2 marked stage-1 Dead at t=…
reason: "suspicion-timeout"
observer side (stage-2): conn_type=Relay
peer side (stage-1): conn_type=unknown
observer probes_ok_at_transition=yes
peer probes_ok_at_transition=yes
```
Probes succeeded on both sides. Yet stage-2 marked stage-1 Dead. The
transition reason for most other state changes was `gossip` — meaning a third
party told us a peer was Suspect.
Three sub-issues to address, roughly independent in difficulty:
### B1 — the gossip flap loop (the real bug)
Standard SWIM rule: "highest incarnation wins". When peer A claims
`Z=Suspect(incarn=10)` and peer B claims `Z=Alive(incarn=11)`, every receiver
should accept Alive(11) and discard Suspect(10). Z's own refute should bump
incarnation past any stale Suspect within one gossip round.
Our self-incarnation reaching 228 in 420 seconds means roughly one refute every
1.8 seconds. That's far above the probe interval. Either:
- The refute bump isn't being broadcast fast enough to outpace the next gossip
round, or
- The receiver-side incarnation comparison isn't strictly "newer wins"
(off-by-one, or accepts equal-and-Suspect over Alive), or
- Suspect/Dead gossip is being generated by peers who *themselves* haven't yet
seen the latest incarnation, and our impl doesn't suppress that.
Next step: pick one Suspect→Alive→Suspect cycle in the run #3 timeline,
read `crates/distribution/src/swim/{node,probe}.rs` against it, identify
which branch of the gossip-receive code is mis-firing.
### B2 — SWIM message bloat
In run #1, individual SWIM Ack messages were **9.8 KB**, Pings up to 7.5 KB.
That's because membership gossip piggybacks on every probe. With our N=4
cluster and substantial name-table state, the payloads grow into the multi-KB
range.
Big payloads ⇒ head-of-line blocking on relay ⇒ probe latency spikes ⇒ probe
acks miss the timeout window ⇒ Suspect.
Fix: split gossip into its own periodic burst (or piggyback only a bounded
slice). Smaller secondary issue but it amplifies B1.
### B3 — timeouts vs WAN reality
`probe_timeout=15`, `suspicion_timeout=60` are LAN-tuned. Across regions with
relay routing, p99 RTT can spike to 2-3s under load. The probe budget is fine
in normal weather but tight under bursts.
**But** the summary explicitly says `probes_ok_at_transition: yes` — pings ARE
getting acked. The deaths are gossip-driven, not probe-driven. So this is the
*least* important of the three; fix B1 first.
## Discussion: catching this in test, not production
This loop cost ~$2 of vast.ai GPU rental and ~90 minutes of engineering time.
Almost none of the test value required real GPUs or a real vast.ai roundtrip —
it was a pure SWIM problem. Test-side priorities, cheap to expensive:
### A. In-process SWIM simulator with injectable network params
Run N SWIM cores in a single test process. Mock transport queues messages with
configurable latency, jitter, and loss. Property assertions like:
- *"With 200ms ± 50ms latency + 5% packet loss, a 3-node cluster reaches
all-Alive within 30 seconds and stays Alive for 5 minutes."*
- *"After a 10-second partition + heal, name registrations re-replicate to
all peers within 30 seconds."*
- *"Self-incarnation never exceeds N + (failures observed) in a steady-state
cluster."*
`<1 second per iteration`. The repo already has
`crates/distribution/src/swim/` as a unit — likely just needs a sim harness
plus property tests. **Would have caught our exact bug.** Highest leverage
single thing we can build.
### B. Docker-compose harness with `tc netem`
Three containers on the laptop, real iroh + real relay over loopback,
`tc qdisc add dev eth0 root netem delay 100ms 30ms loss 1%` per container.
End-to-end including the relay protocol. ~30 seconds per iteration; good for
CI nightly. Complements A — A catches logical bugs, B catches integration
issues.
### C. Stage-side diagnostic emission gaps
Three small additions (<100 lines total) that would have cut today's debug
loop in half:
1. Emit a `Custom("register_name")` event whenever `register_name` is called,
carrying `(name, addr, peer_node_id)`.
2. Include the local name table in each snapshot (currently `body.swim` has
membership + recent messages but no `name → addr` mapping).
3. Emit a `Custom("worker_exited")` event with status / signal **before**
`std::process::exit(1)` in `wait_for_worker_ready` and friends.
Run #1's investigation would have ended in 2 minutes instead of 90.
### D. `pp-shell <run_id> <stage_idx>` helper
A one-liner CLI that uses the run_id to query collector metadata, finds the
matching vast.ai instance from contract IDs, and SSHes in with pp-gpu-node's
stderr piped to the local terminal. We did this manually with `curl + python +
ssh`; bundling it saves 5 minutes every time anyone wants to look at a live
stage.
## Potential next steps
Ordered by leverage / cost. Picking 1–3 is probably enough to unblock
real N≥3 deployment.
1. **Build option A (in-process SWIM simulator + property tests).** Catches B1
immediately and is reusable for every future regression. Needs the SWIM
core to be transport-agnostic — verify by reading
`crates/distribution/src/swim/`; refactor if needed.
2. **Ship option C (three diagnostic-emission additions).** Cheap and
compounds. Every future live debug benefits. Worth doing *before*
investigating Layer C so we can capture what kills the worker.
3. **Fix B1 (the gossip flap).** With the simulator in place, develop
test-first: write the property test that captures the observed pathology,
then change SWIM until it passes. Reading `swim/node.rs` and
`swim/probe.rs` is the entry point.
4. **Investigate Layer C (tinygrad worker crashes).** Requires step 2 OR a
live SSH-in during a fresh real-worker run. The crash is most likely in
model loading — `pp_tinygrad_worker.py` probably wants a `MODEL` env it's
not getting, or tinygrad's CUDA backend is failing on the rented GPU.
5. **Option B (docker-compose harness) + option D (pp-shell helper).** Nice to
have once we're back to spending time on live-cluster work.
## Artifacts produced this session
Uncommitted changes on `ds-inference`:
- `crates/distribution/src/bin/swactor-iroh-relay.rs` — new standalone relay
binary.
- `crates/distribution/Cargo.toml` — extended `relay` feature with tokio
macros/signal; added `[[bin]] swactor-iroh-relay`.
- `examples/pipeline-parallel-inference/src/relay_config.rs` — new module,
`relay_mode_from_env()`.
- `examples/pipeline-parallel-inference/src/lib.rs` — exposed `relay_config`.
- `examples/pipeline-parallel-inference/src/bin/pp_smoke_run.rs` — uses
`relay_mode_from_env()` instead of hard-coded `RelayMode::Default`.
- `examples/pipeline-parallel-inference/src/bin/pp_gpu_node.rs` — same, with
precedence over the prior `seed_relay_env` heuristic.
- `examples/pipeline-parallel-inference/src/vastai.rs` —
`DiagEnv.iroh_relay_url` field, `is_enabled()` updated, env passthrough for
`PP_WORKER_STUB` / `PYTHON` / `MODEL` / `CUDA` / `MAX_TOKENS` in
`create_instance`, and relay-URL injection.
- `examples/pipeline-parallel-inference/tests/t_vastai.rs` — updated
`DiagEnv` struct literal for the new field.
Bundles on docean (`/var/lib/swactor-diag/bundles/`):
- `vastai-N3-1.tar.gz` — canary baseline, real worker.
- `vastai-N3-2.tar.gz` — own relay, real worker (stages die at 51–191s).
- `vastai-N3-stub.tar.gz` — own relay, stub worker (stages live full run; SWIM
still fails to settle).
Local extracted bundles:
- `/tmp/bundle.out` (run #1), `/tmp/bundle_v2.out` (run #2),
`/tmp/bundle_stub.out` (run #3).
## Infrastructure state at end of session
- **docean (146.190.110.128)** running:
- `swactor-diag-collector` on :9080/tcp + :9081/udp.
- `swactor-iroh-relay` on :7843/tcp (advertised
`http://146.190.110.128:7843/`).
- Both processes started under `nohup`, logs at
`/var/log/swactor-diag-collector.log` and
`/var/log/swactor-iroh-relay.log`.
- **vast.ai**: no instances running; all destroyed at end of each run.
- **Local docker image**: `zacheryasc/swactor-pp-gpu:latest` (sha256:9d2cd3…)
contains the most recent pp binaries with env passthrough + custom relay
support. Pushed to Docker Hub.

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@ -1,494 +0,0 @@
# N=3 observability upgrade — behavioral spec
Sister doc to `N3_DATA_GAPS.md`. The gaps doc says *what's missing
and why we care*. This doc says *what the system must do once the
gaps are closed.*
Each section is a behavior contract: requirements the running
system has to satisfy after the work is done. Implementation
strategy — which crate, which file, which trait — is left to the
person picking up the work, except where a pattern is load-bearing
to the contract itself (the subprocess introspector is the one
explicit pattern requirement, called out below at the user's
direction).
Throughout: every "the bundle contains X" claim is testable. A
post-deployment run that doesn't satisfy these is a failed upgrade.
## Cross-cutting requirements
1. **Additive evolution.** A node running new code emits bundles
that a post-processor built against old code can still parse —
missing fields are absent, not malformed. Symmetrically, a
post-processor built against new code reads an old bundle by
showing the new fields as "absent" rather than erroring.
2. **Separation of lifecycle from state.** Anything that has a
"moment it happened" is an event on the event stream. Anything
that has a "current value" is a snapshot field. The same fact
should not be reported both ways unless one is a counter and
the other is a transition.
3. **Schema-version honesty.** Any version string the bundle
carries about a dependency must reflect the dependency actually
linked at build time. The bundle never contains a version
string that disagrees with the lockfile.
4. **Generic over the use case.** Tier-3 capture surfaces (process,
subprocess, host, etc.) are wired the same way as the existing
`ProcessIntrospector`: a trait on the aggregator with a default
production implementation and the ability to install a test
fake without going through production paths. A new caller of
`swactor` should be able to opt into the new surfaces with no
knowledge of how data flows out.
5. **Boundary stays where it is today.** Generic observability
primitives live in the distribution crate's diagnostics module.
Role-specific decisions (which PIDs to register, which probes
to install, which labels to use) live in the calling crate
(`examples/pipeline-parallel-inference/...` for this codebase).
---
## 1. Relay observability (gap 1)
After this work, the bundle answers, for every relay-mediated
peer connection that died during a run:
- Who initiated the close: the relay, the remote node, or an idle
timeout.
- What the close reason was, in a short string the relay assigned.
- How long the session had been open and how many bytes had
crossed in each direction.
- The relay's own count of active sessions, opens, closes, and
bytes transferred at end-of-run, broken down by close reason.
The bundle reader can answer "was this a relay-side eviction"
without consulting any external system, by reading the relay's
report and correlating it against the node-side
`connection_cache[peer].last_failure_reason` already in the
bundle.
The post-processor's summary surfaces this correlation per peer
in a "relay sessions" section. When the relay was not observed
(legacy run, relay observability not configured), the section
renders one line explaining that and pointing at this gap.
Acceptance: replay the 2026-05-25 incident with a new bundle.
The summary tells you who closed stage-2's session and why,
without further digging.
---
## 2. Relay-session vs. peer-connection separation (gap 2)
After this work, every snapshot a node emits carries an explicit
answer to "is my tunnel to my relay healthy right now," separate
from "do my peer connections through that tunnel work."
The field carries:
- The relay URL the node is currently using.
- A status (connected / connecting / disconnected / unknown).
- Wall-clock millis of the last status change and the moment the
current status was entered.
- The last moment the node successfully sent over the tunnel and
the last moment it received over it.
- Lifetime byte counters in each direction.
When the underlying transport library does not expose enough state
to populate the field truthfully, the snapshot must say so
explicitly: the status is `unknown`, a discriminator field
identifies the value as derived rather than reported, and the
existing `iroh_api_missing` event pattern records the gap by name.
A bundle reader must never have to guess whether `unknown` means
"the tunnel is unknown" vs. "we couldn't ask."
Acceptance: in the 2026-05-25 bundle's stage-2 snapshots, this
field reports either a real status ("disconnected" or "connected")
or `unknown` with `status_source: derived`. The investigator can
distinguish "tunnel alive but peer connection dead" from "tunnel
itself died" without speculation.
---
## 3. Per-transition relay events (gap 3)
After this work, every relay-related state flip produces an event
on the event stream, in addition to whatever counter increments.
Two kinds of flips are observable:
- **Relay session state changed**: the tunnel status field from
section 2 moved between values. Event carries the relay URL,
from-status, to-status, and a short reason string when one is
available.
- **Relay home changed**: the node switched which relay it
considers home. Event carries the from-URL and the to-URL.
Counters (e.g. `relay_home_change`) are retained for sanity-check
totals, but the per-transition event is the authoritative source.
A bundle reader can reconstruct the relay-state timeline of a
node by replaying the event stream, with no need to derive
transitions from counter deltas across snapshots.
Acceptance: in any run where a node experiences a relay flap, the
event stream contains at least one `RelaySessionStateChanged`
record. A grep for that event kind across the bundle tells you
which nodes flapped and when, with no other inputs.
---
## 4. Subprocess introspector (gap 4) — generic, through swactor
This is the largest section. The user's explicit requirement:
**the Python worker introspection must flow through swactor in a
generic way, like the existing process crate does** — meaning it
is not specific to "the Python worker" or "this example crate,"
but a reusable surface that any future user of `swactor_process`
can opt into.
### Behavior contract
After this work, every subprocess that a node owns via
`swactor_process` is reflected in the bundle on two channels,
identically to how the parent process is reflected today:
- **As snapshot state**: each periodic snapshot carries a
per-subprocess entry with the subprocess's caller-supplied
label, PID, parent PID, status (running / exited / unknown),
spawn time, exit time and code/signal when applicable, RSS,
virtual size, open FD count, CPU time, and a truncated
command line.
- **As lifecycle events**: a `SubprocessSpawned` event fires when
the subprocess starts, and a `SubprocessExited` event fires when
it ends. Both carry the caller's label, the PID, the command,
and (for exit) the exit code or terminating signal and uptime
in millis.
Subprocess capture is a tier-3 surface alongside the existing
process-stats one. It is installed via an introspector trait on
the aggregator, with the same install pattern as today's
`ProcessIntrospector`, `HostIntrospector`, etc. A test can wire a
fake introspector without going through any production code path.
The capture surface is **stage-agnostic** and **worker-agnostic**:
it knows about a PID, a label, and a parent. The fact that "the
Python worker" is one such subprocess is a decision made at the
calling site, not in the introspector.
### Wiring contract — the swactor side
The `swactor_process` driver, when it spawns a child, must
publish the child's PID through its existing notification
channel. The data flow looks like:
1. The owning actor calls into `swactor_process` to spawn.
2. `swactor_process` reports the spawn outcome back through its
existing notification mechanism, with the PID included.
3. The owning actor forwards "this PID, this label" into the
subprocess introspector it owns.
4. The owning actor forwards "this PID has exited with this
status" into the introspector on exit.
The actor's role in step 3-4 is intentionally minimal — a handful
of lines wrapping notifications it already receives. The
introspector does the actual `/proc` reading, lifecycle-event
emission, and snapshot population. A future swactor user gets
subprocess observability by installing the introspector at boot
and forwarding two notification kinds; nothing else.
### Lifecycle event coverage
The pre-existing ad-hoc `Custom { kind: "worker_starting" }` and
`Custom { kind: "worker_exited" }` strings in the example crate
are replaced by the typed `SubprocessSpawned` and
`SubprocessExited` events. The role-specific signal "the
subprocess has produced its first protocol output and is
functioning" (currently `worker_ready`) stays a `Custom` event
because functioning-as-a-pipeline-worker is not a generic
subprocess concept.
### What this gives us for the next investigation
For a stage that didn't start its worker, the bundle now tells us
unambiguously which of three things happened:
- The actor never reached its `on_start` and the subprocess was
never asked to spawn. No `SubprocessSpawned`. The bug is in
actor scheduling.
- The subprocess spawned and exited immediately. Both events
present, with exit code and the existing stderr tail available.
The bug is in the subprocess itself.
- The subprocess spawned and stayed alive but never produced
protocol output. `SubprocessSpawned` present, no
`SubprocessExited`, no `worker_ready` Custom event, and the
per-snapshot RSS/CPU on the subprocess show whether it's stuck
or thrashing. The bug is in the subprocess's startup logic
before its first protocol line.
These three were indistinguishable in the 2026-05-25 bundle.
They are immediately distinguishable after this work.
Acceptance: in any future deployment, a stage that fails to
produce inference output can be classified into one of those
three buckets by reading the bundle alone.
---
## 5. Host metadata forwarding (gap 5)
After this work, every node's boot record carries the physical
host context the node is running on:
- Public IP of the rental.
- Datacenter id and country reported by the cloud provider.
- The provider's identifier for the rental (e.g. vast.ai instance
id) — enough to re-rent or correlate against provider-side
logs.
- The hostname as the container sees it.
- The relay URL the node was configured with at boot.
- The git SHA the binary was built from.
- The version string of the underlying transport library, taken
from what is actually linked (see gap 6).
When a node runs outside the orchestrator's lease flow (e.g. a
locally-launched node for development), the cloud-provider fields
are absent rather than blank or wrong. The bundle reader can tell
"this node was not on vast.ai" from "this node was on vast.ai but
metadata wasn't forwarded" — the former leaves fields absent, the
latter is no longer a possible state.
The post-processor's summary lists each node's host context one
line per node, so "which rental was stage-2" is answerable
without grep.
Acceptance: replay the 2026-05-25 incident's recovery process.
Identifying stage-2's host requires reading one line of the
summary, not cross-referencing provider records.
---
## 6. Iroh API version sanity (gap 6)
After this work:
- The `iroh_api_missing` event reports the version of the
transport library actually linked into the binary. The version
string is sourced from the build, not a literal.
- Every tier-2 transport snapshot carries the same version string
as a field, so a bundle reader does not need to scan the event
stream to know what version the node ran.
- The list of "API gaps" — fields the bundle reader should treat
as "we couldn't ask" rather than "we asked and got zero" —
reflects what the linked version actually omits. Upgrading to a
version that exposes a previously-missing field causes the gap
to disappear from the bundle automatically; no code change is
needed to recompute the list.
Acceptance: bumping the iroh dependency to a version that exposes
`conn_type` produces a bundle whose `api_gaps` no longer mentions
`conn_type`, without any other change.
---
## 7. Bundle assembly without finalize (gap 7)
After this work:
- A bundle is retrievable for any run that has at least one boot
record in staging, regardless of whether the orchestrator sent
a finalize record. `GET /diag/bundle/<run_id>` succeeds in both
cases.
- The retrieved bundle's manifest explicitly states whether
finalize was received. Bundle readers must not have to guess.
- When finalize was received, the bundle is the canonical one and
serving it is cheap. When it wasn't, the bundle is synthesized
at request time from staging files; the latency is fine because
unfinalized bundles are by definition retrieved during incident
response.
- Staging files for runs that never finalized are retained at
least until the operator has had a reasonable window to
retrieve them (default: 30 days), bounded by a hard
disk-space cap that trims oldest-first when exceeded.
The hand-rolled recovery process used for the 2026-05-25 incident
(tar staging from the collector, scp it down, reshape, retar) is
no longer needed for any future incident, regardless of how the
orchestrator died.
Acceptance: kill an orchestrator with SIGKILL mid-run. A subsequent
`GET /diag/bundle/<run_id>` returns a usable bundle with
`finalize_received: false` in its manifest.
---
## 8. Relay-port reachability probe (gap 8)
After this work, every node periodically attempts a transport-level
reachability check against the relay's actual port, and reports
the outcome in the same snapshot probe array as the existing UDP
echo. The probe's existence does not require operator
configuration: when the node has been told a relay URL, the relay
probe is automatically registered.
The probe's outcome distinguishes:
- Reached and responded ("ok").
- Reached, no response within deadline ("timeout").
- Host reachable, port closed ("refused").
- Could not resolve target ("unresolved").
- Other error ("error").
A bundle reader can answer "could stage-2 reach the relay port at
moment T" by reading stage-2's probe array around T, without
inferring reachability from a different probe to a different port
on the same host.
Acceptance: a node placed behind a firewall that blocks the relay
port but not the existing UDP echo port produces a bundle in
which the relay probe consistently reports `refused` or `timeout`
while the UDP echo continues to report `ok`.
---
## 9. Per-peer dial rollup in summary (gap 9)
After this work, the post-processor's summary contains, per peer
in the run, a row listing:
- Total dials started against that peer.
- Total successful dials.
- Total failed dials.
- The last dial outcome (string) and its wall-clock millis.
The 3-event drift in the 2026-05-25 bundle (`DialStarted: 83`,
`DialOutcome: 80`) is attributable to specific peers in the
table; the reader can immediately tell which peers' dials never
completed.
This is a pure post-processor change — the raw events are already
in the bundle. No new fields, no new events.
Acceptance: re-run the post-processor against the existing
2026-05-25 bundle. The summary contains a per-peer dial table
that accounts for all 83 `DialStarted` events.
---
## 10. Gossip-receipt event (gap 10)
After this work, every time a node receives a payload through the
gossip / dissemination layer — name-registry update, SWIM
membership piggyback, anything similar — it emits a typed event
on its event stream. The event carries the source peer, the
payload kind (string, extensible), the payload size in bytes, and
the number of items inside.
The existing coarse `MessageReceived` counter remains for backward
compatibility, but the new event is the authoritative source for
"did node X ever hear about name Y from peer Z."
The post-processor's summary, per node, reports the total receipt
counts broken down by payload kind. "Stage-2 never received any
name-registry gossip from anyone" is a one-line answer.
Acceptance: in any run where one node fails to learn about
another node's registered name, the bundle distinguishes
unambiguously whether the gossip was never received vs. received
and ignored.
---
## 11. Kernel network counters (gap 11)
After this work, every host-scrape snapshot carries kernel-level
UDP and per-interface counters:
- UDP-side: aggregate packets in/out, drops attributable to
no-listening-port, packets discarded due to errors, packets
lost to socket buffer overflow.
- Per-interface: rx/tx bytes, rx/tx dropped, rx/tx errors.
A bundle reader can compute deltas across consecutive snapshots
to attribute packet loss to one of three layers:
- "Iroh sent and the OS dropped it" — UDP send error counters
rise on the sender.
- "OS sent it and the path silently lost it" — sender counters
clean, receiver counters clean.
- "It arrived and got dropped at the receiver's NIC" — receiver
interface drop counters rise.
All counters are best-effort: absent on non-Linux hosts, absent
when the file can't be read, never silently zero. The
post-processor's summary surfaces any node whose UDP-drop or
interface-drop deltas are non-zero across the run window, so the
reader doesn't have to inspect every snapshot.
Acceptance: a node deliberately subjected to UDP-drop-rate
injection produces a bundle whose summary highlights it with the
correct counter rising.
---
## Sim cross-pollination
The behavioral contracts above also constrain the simulator. A
node simulated by the sim should produce snapshots and events
that conform to the same shape as a real node — the bundle reader
should not be able to tell from the data shape alone whether a
given snapshot came from a real deployment or the sim.
Three areas where today's sim lags this contract and must catch up
as part of the same upgrade:
- The sim must model a relay actor whose behavior produces the
same tunnel-status field (gap 2) on simulated nodes. Without
this, sim runs of cluster scenarios are not bundle-shape
compatible with real ones.
- The sim must support installing a subprocess introspector fake
(gap 4). Scenarios that want to model "a stage's worker never
came up" wire this fake to produce a `SubprocessSpawned` with
no following `worker_ready` Custom event.
- The sim's network failure model must allow "tunnel up,
peer-connection-via-tunnel down" as a distinct failure case
from "tunnel down." Without it the sim cannot reproduce the
exact 2026-05-25 failure even after the observability lands.
These are sim-side work, not data-collection work, but they
share the data model defined here.
---
## Implementation order
Grouped by independence. Within a group, work is parallel-safe;
across groups, later groups don't depend on earlier groups
*finishing*, only on earlier groups' contracts being agreed.
**Group A — small, independent, unblock confidence elsewhere**
- 5 (host metadata) — small and pure-mechanical
- 6 (iroh version sanity) — small, but until it lands, every
iroh-side field in the bundle has a credibility asterisk
- 9 (per-peer dial rollup) — pure post-processor
- 11 (kernel counters) — additive host-scrape extension
**Group B — relay tier**
- 1 (relay observability) — the largest single info gain
- 2 (relay-session field) — depends on having something to
populate it from, ideally the work in 1
- 3 (relay events) — depends on 2's status field existing
**Group C — subprocess tier**
- 4 (subprocess introspector + events) — independent of B,
parallel-safe with it
**Group D — collector robustness**
- 7 (bundle without finalize) — independent of all the above;
land last to avoid churning the collector while other tiers
are still moving
**Group E — polish**
- 8 (relay-port probe) — small, independent
- 10 (gossip-receipt event) — small, independent
The 2026-05-25 investigation would have been closeable with
A + B + C alone. D + E reduce future investigation cost but
weren't load-bearing for the failure we hit.

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@ -1,290 +0,0 @@
# N=3 vast.ai deployment post-mortem — 2026-05-25
Companion to `N3_DEPLOYMENT_REPORT.md` and `DEPLOYMENT_TEST.md`. Covers
one invocation of `pp-smoke-run --vastai --num-stages 3` on 2026-05-25
(`vastai-N3-1779720002`). The cluster came up, lost one peer's relay
session ~5 s into SWIM convergence, never recovered, and was killed by
the operator at ~10 min. The orchestrator never produced an
`InferenceResponse`. The diagnostic bundle was recovered by hand (no
finalize record was written) and post-processed.
## Cleanup note
The run was terminated with `TaskStop` (SIGKILL). The orchestrator's
destroy-on-exit handler did not run. Three rentals (`37777187`,
`37777190`, `37777192`) were destroyed manually by
`DELETE /api/v0/instances/<id>/`. Post-cleanup instance count = 0.
## Sequence
3 instances leased (`37777187` → stage 0 / `95d01a36…`, `37777190`
→ stage 2 / `a040c0d2…`, `37777192` → stage 1 / `0cc5ed32…`).
Orchestrator node id `66b61b4a…`. All four nodes used
`SWACTOR_IROH_RELAY_URL=http://146.190.110.128:7843/` (docean), as
recorded in every node's `body.iroh.home_relay_url` field.
Live log progression:
```
t=0 orchestrator boots, custom-relay banner emitted
t=~135s contract 37777187 (stage 0) reaches running, others follow
t=158s 3 contracts leased, "waiting for SWIM convergence (3 alive)"
t=~190s members ["0cc5ed32=alive", "95d01a36=alive", "a040c0d2=suspect"]
iroh driver: connect attempt N/3 to a040c0d2 failed: connect timeout
(repeated)
t=~340s stage-0 marks stage-2 (a040c0d2) Dead, reason "suspicion-timeout"
t=~420s stage-1 (0cc5ed32) also goes suspect from orchestrator's view
t=~600s members ["0cc5ed32=dead", "95d01a36=alive", "a040c0d2=dead"]
t=~600s operator killed the orchestrator (SIGKILL via TaskStop)
```
## Bundle recovery
`GET /diag/bundle/vastai-N3-1779720002` returned HTTP 404. The
collector finalises tarballs only on receipt of a finalize record from
the orchestrator; SIGKILL skipped that step. Per-node staging files
under `docean:/var/lib/swactor-diag/vastai-N3-1779720002/` survived and
were retrievable by tar + scp.
Recovery steps applied to produce a postproc-compatible bundle:
1. Tar `/var/lib/swactor-diag/<run_id>/` from docean and copy down.
2. Synthesize `MANIFEST.json` from the four `boot-000001.json` records
(run_id, role, stage_index, node_id_hex; file counts via `ls -1`).
3. Reshape staging layout (flat `boot-NNN.json`, `events-NNN.json`,
`snapshot-NNN.json` under `<node_id_hex>/`) into bundle layout
(`<label>/{boot.json, events/events-NNN.json, snapshots/snapshot-NNN.json}`)
per `crates/distribution/src/diagnostics/collector/bundle.rs:73-128`.
4. Re-tar and run `target/release/swactor-diag-postproc`.
`finalize_received: false` in the synthesized manifest. Post-proc
completed; `summary.md` and 12 timeline TSVs generated.
## Bundle findings
### Volume
| node | role | snapshots | event batches |
|----------------------------|--------------|-----------|---------------|
| `66b61b4a` orchestrator | orchestrator | 130 | 223 |
| `95d01a36` stage-0 | stage | 100 | 188 |
| `0cc5ed32` stage-1 | stage | 58 | 87 |
| `a040c0d2` stage-2 | stage | 23 | 38 |
Stage-2 stopped reporting earliest. Its event volume is ~17% of
the orchestrator's.
### UDP echo probes (collector tier-2 reachability)
| node | result |
|-------------------|----------------------------------------|
| orchestrator | ok, rtt=295 ms, 59/59 ok |
| stage-0 | ok, rtt=182 ms, 38/38 ok |
| stage-1 | ok, rtt=343 ms, 23/25 ok |
| stage-2 | timeout, 11/12 ok |
### SWIM transitions
`SwimTransition` total: 46.
First `→ Dead`: stage-0 marked stage-2 (`a040c0d2…`) Dead at
`t = 1779720343390` ms, reason `"suspicion-timeout"`. At the
transition moment:
- observer (stage-0): `conn_type=None`, `probes_ok=yes`
- peer (stage-2): `conn_type=unknown`, `probes_ok=no`
### iroh state — orchestrator's view of stage-2
From `body.iroh.connection_cache[peer=a040c0d2…]` in the latest
orchestrator snapshot:
```
created_at_ms: 1779720247124
last_successful_send_at_ms: 1779720247125 (Δ = +1 ms)
last_failure_at_ms: 1779720251922 (Δ = +4797 ms after open)
last_failure_reason: "connection-closed"
observed_conn_type_at_last_use: "None"
```
`body.iroh.peers[a040c0d2…].relay_urls[0].usage: "inactive"`.
The orchestrator's relay-mediated connection to stage-2 succeeded for
~5 s, was closed with reason `connection-closed`, and was never
re-established. The cache entry remained at `generation: 1`.
### iroh state — stage-2's view of itself
From `body.iroh` in stage-2's latest snapshot:
```
home_relay_url: http://146.190.110.128:7843/ (our relay)
peers: [orchestrator only] (never saw siblings)
relay_home_change counter: 1 (one-time setting, no churn)
holepunch_attempts counter: 537
mapping_attempts counter: 6
mapping_failures counter: 5
paths_relay counter: 1
num_conns_opened counter: 1
num_conns_closed counter: 0
send_relay bytes: 43458
recv_data_relay bytes: 14882
```
Stage-2 never appeared in any peer's `peers[]` with `usage: "active"`
after the initial 5-second window.
`RelayChanged` event total across all nodes: 0.
### Custom (worker) events
| node | `worker_starting` | `worker_ready` | `worker_heartbeat` |
|---------------|-------------------|----------------|--------------------|
| stage-0 | 1 | 1 | reported |
| stage-1 | 1 | 1 | reported |
| stage-2 | 0 | 0 | 0 |
| orchestrator | 0 | 0 | 0 |
`worker_starting` total: 2. `worker_ready` total: 2. Stage-2 emitted
neither.
### One-time iroh API gaps
Every node emitted one `Custom { kind: "iroh_api_missing" }` event at
boot. Fields reported missing from `iroh::endpoint::RemoteInfo`:
```
RemoteInfo.conn_type
RemoteInfo.latency_ms
RemoteInfo.last_used_ms
RemoteInfo.last_received_ms
TransportAddrInfo.source
```
`iroh_version` reported in the event is `"0.96"` (hard-coded string at
`crates/distribution/src/diagnostics/iroh_introspect.rs:237`). The
crate dependency in `examples/pipeline-parallel-inference/Cargo.lock` is
`iroh 0.98.2`.
## Data-collection gaps surfaced by this run
The following information would have helped narrow the cause of the
stage-2 session loss. Listed alongside the existing source path that
either does not emit it or emits a degraded version.
### 1. Relay-side data not collected at all
`swactor-iroh-relay` on docean runs without external observability
pulls. The bundle has zero data from the relay process:
- no per-connection session log (open/close, close reason, bytes)
- no `/metrics` snapshot
- no log tail
The orchestrator-side `connection_cache` reported
`last_failure_reason: "connection-closed"` for stage-2. The actor that
closed the session (relay vs. either endpoint) and the underlying QUIC
close code are not recoverable from the bundle.
### 2. No per-event RelayConnected/RelayDisconnected emission
`body.iroh.metrics.socket.relay_home_change` is a monotonically
increasing counter recorded per snapshot. The bundle reports its final
value (`1` for every node) but no event-stream item for the moment a
relay path is established, lost, or re-established. Stage-2's local
view (`num_conns_closed: 0`) is consistent with iroh not noticing its
own session was dead.
### 3. Boot-record host metadata is null
`crates/distribution/src/diagnostics/identity.rs:73` defines the
fields; every node's `boot.json` carries:
```
container_id: null
datacenter_id: null
host_country: null
host_ip_public: null
home_relay_url_at_boot: null
hostname: <docker container short id>
git_sha: null
iroh_version: null
```
The orchestrator already has `host_ip_public`, `datacenter_id`, and
`host_country` for each rental at the point `lease_chain` returns
(`RunningInstance` in `examples/pipeline-parallel-inference/src/vastai.rs`).
None of those fields are forwarded into the container or recorded by
`pp_gpu_node` into the boot snapshot. The vast.ai host machine and
datacenter that produced the stage-2 rental are not recoverable from
the bundle.
### 4. No stage-side reachability probe against the relay
`probes` records one outcome per snapshot — UDP echo to
`SWACTOR_DIAG_UDP_ECHO` (`:9081`). There is no analogous probe to the
relay (`:7843`). Whether stage-2 retained transport-level reachability
to docean after its iroh session closed is not directly observable.
The UDP-echo result (stage-2 timeout at 11/12) covers a different port
on the same host.
### 5. No per-peer DialStarted/DialOutcome rollup
Event totals: `DialStarted: 83`, `DialOutcome: 80`. The bundle has the
raw events but `summary.md` does not surface per-peer dial counts. The
3-event drift is not attributed to a specific peer in the post-proc
output.
### 6. Process-level kernel network counters not captured
`body.process` is populated per snapshot. It does not include
`/proc/net/snmp`, `/proc/net/udp`, or per-interface RX/TX drop counts.
For stage-2 (537 holepunch attempts, 5 mapping failures), kernel-level
UDP error/drop counts that would distinguish "iroh sent and the OS
rejected" from "iroh sent and the path silently dropped" are not
present in the bundle.
### 7. No explicit gossip-arrival event on each stage
Stage-2's iroh `peers[]` contains only the orchestrator. Whether
stage-2 learned of `0cc5ed32` and `95d01a36` via `NameRegistry` gossip
but failed to dial them, or never received the gossip at all, is not
directly observable. `MessageReceived: 72` is recorded but is not
broken down by message type or source.
### 8. Bundle assembly requires finalize
`crates/distribution/src/diagnostics/collector/bundle.rs:43-67`
constructs `MANIFEST.json` and the tarball only on receipt of a
finalize record. This run's bundle was reconstructable only because
the collector retained staging files on disk. If the collector were
configured to delete staging files at a TTL shorter than the
operator's diagnostic latency, this bundle would not have been
recoverable.
### 9. `iroh_api_missing` event reports a stale version string
`crates/distribution/src/diagnostics/iroh_introspect.rs:237` emits
`iroh_version: "0.96"` as a literal. `Cargo.lock` shows `iroh 0.98.2`.
The `api_gaps` list at line 547 is computed against the 0.96
`RemoteInfo` shape; whether the same fields are still missing under
0.98 is not verified by the emitted event.
## Artifacts
In repo root after recovery:
```
vastai-N3-1779720002.tar.gz reshaped bundle (557 KB)
vastai-N3-1779720002.out/summary.md postproc summary
vastai-N3-1779720002.out/reachability.tsv
vastai-N3-1779720002.out/timeline-*.tsv 12 per-link timelines
```
Staging copy on docean retained at
`/var/lib/swactor-diag/vastai-N3-1779720002/`.
## Infrastructure state at end of session
- docean (146.190.110.128): collector and relay processes running.
- vast.ai instances under `$VAST_API_KEY`: 0.

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# N=3 vast.ai deployment post-mortem — 2026-05-25 (run `1779733878`)
Second N=3 deployment of 2026-05-25, and the **first run on the
observability upgrade** (commit `e8be135`, the work specified in
`N3_OBSERVABILITY_UPGRADE_SPEC.md` and motivated by
`N3_DATA_GAPS.md`). Companion to the earlier post-mortem
`N3_POSTMORTEM_2026-05-25.md` (run `1779720002`), whose failure this
deployment was meant to (a) avoid and (b) make diagnosable.
One invocation of `pp-smoke-run --vastai --num-stages 3` (stub worker)
on 2026-05-25 (`vastai-N3-1779733878`). The cluster came up cleanly,
all three stage workers reached `ready`, the request was sent — and
then SWIM membership flapped continuously and no `InferenceResponse`
ever returned. The operator declared a deadstop at ~7 min and killed
the orchestrator. Unlike last time, the bundle was recovered through
the collector's own endpoint (gap 7), and the new diagnostics
**attributed the failure to a specific edge**: the response path from
the last stage back to the (NAT'd, locally-run) orchestrator.
## Outcome in one line
Not a worker bug and not the relay-session loss of run `1779720002`.
The stage chain was healthy; the weak link was reaching the
orchestrator over the relay. Per-peer dial data (gap 9) shows dials
**to the orchestrator failing 7/11 with `Timeout`** while every
inter-stage dial succeeded (19/19). This was indistinguishable in the
previous bundle and is a one-table answer now.
## Cleanup note
The run was terminated with `SIGTERM` (operator kill on deadstop),
which — like the previous `SIGKILL` — skips the orchestrator's
destroy-on-exit handler. Three rentals (`37803546`, `37803550`,
`37803555`) were destroyed via `DELETE /api/v0/instances/<id>/`
(HTTP 200 each). Post-cleanup instance count = 0, verified. No leak
from the earlier failed lease attempt either (see Sequence).
## Sequence
Orchestrator runs locally (behind home NAT, no direct port); three
stages on vast.ai RTX 4090 hosts; relay + collector on docean
(`146.190.110.128`).
```
t=— first launch dies instantly: lease_chain failed,
"no offers available (after geo/exclusion filter)".
Root cause: --gpu RTX_4090 (underscore) matches 0 vast.ai
offers; the API uses "RTX 4090" (space). 0 instances leased.
t=0 relaunch with --gpu "RTX 4090": orchestrator node 146aef53,
custom-relay banner emitted.
t=~135s contracts 37803546/37803550/37803555 reach running,
leased as stage-0 (aa0ef1c5), stage-1 (32abf9d6),
stage-2 (a1ebaa08).
"waiting for SWIM convergence (3 alive)" → converges.
t=~150s registered pp-orchestrator; pp-entry resolved; one
InferenceRequest sent. Enter await_response (600s budget).
t=~165s+ SWIM begins flapping. Members oscillate, e.g.:
+63s : 32abf9d6=suspect
+79s : 32abf9d6=dead, a1ebaa08=dead
+94s : 32abf9d6=dead (others alive)
+194s: 32abf9d6=dead, a1ebaa08=suspect
+216s: aa0ef1c5=suspect
iroh keeps exchanging messages throughout; connect-timeout
count to peers is 0 (contrast 1779720002).
t=~419s await_response still open, members momentarily all-alive,
still no InferenceResponse.
t≈7min operator declares deadstop (a peer Dead across two
consecutive 45s heartbeats with zero forward progress),
kills orchestrator (SIGTERM). No finalize record written.
```
## Bundle recovery (gap 7 — worked, with a caveat)
`GET /diag/bundle/vastai-N3-1779733878` returned **HTTP 200** with a
usable tarball — no hand tar/scp/reshape, unlike last time. The
gap-7 synthesis-from-staging path is the intended fix and it
functioned.
Caveat surfaced by this run: the run id was **reused across the
failed first lease attempt**. That attempt's orchestrator
(`e8151ed8`) called `finalize("lease_chain_error")`, which made the
collector build and cache a tiny (5.3 KB) canonical bundle from the
staging that existed *at that moment* — orchestrator + relay only, no
stages. Because `finalize_received` was then true, the first `GET`
served that **stale canonical bundle** rather than synthesizing from
current staging. Removing the cached bundle and the junk `e8151ed8`
node forced re-synthesis → full **9.3 MB** bundle with all five real
nodes. Two residual quirks observed even after removal:
- `finalize_received` stayed `true` (the collector retains an
in-memory finalize record that outlives deletion of the on-disk
`finalize-*.json`).
- the synthesized `MANIFEST.json` still listed the deleted `e8151ed8`
node (with `finalize_recorded: true`) although no such directory
was in the tarball.
Neither blocked analysis, but both are worth hardening: gap-7 assumed
finalize == end-of-run, and run-id reuse breaks that assumption.
## Bundle findings
### Volume
| node | role | snapshots | events |
|----------------------------|--------------|-----------|--------|
| `146aef53` orchestrator | orchestrator | 409 | 4385 |
| `1c8357a1` relay (docean) | relay | 186 | 187 |
| `aa0ef1c5` stage-0 | stage | 771 | 8638 |
| `32abf9d6` stage-1 | stage | 305 | 3234 |
| `a1ebaa08` stage-2 | stage | 535 | 5963 |
`run_start_ms=1779734098442`, `run_end_ms=1779735024439`
(`duration_ms=925997`; the tail includes the relay's continued
periodic reporting after the orchestrator died — the relay on docean
is still pinned to this run id, see Infra state).
### Subprocess lifecycle (gap 4) — decisive
`SubprocessSpawned: 3`. `Custom(worker_starting): 3`,
`Custom(worker_ready): 3`, `Custom(worker_heartbeat): 37`. No
`SubprocessExited`.
**All three stage workers spawned and became ready and stayed up.**
This is the single fact the `1779720002` bundle could not establish
(there, stage-2 emitted neither `worker_starting` nor `worker_ready`,
and we could not tell "never spawned" from "spawned and died"). The
worker is conclusively ruled out as the cause this time.
### Per-peer dials (gap 9) — the attribution
Totals: `started=50, succeeded=42, failed=7, in-flight=1`.
| peer | started | ok | failed | in-flight | last_outcome | at_ms |
|-----------------------|---------|----|--------|-----------|--------------|----------------|
| orchestrator-146aef53 | 11 | 3 | **7** | 1 | **Timeout** | 1779734955567 |
| stage-0 (aa0ef1c5) | 1 | 1 | 0 | 0 | Success | 1779734410397 |
| stage-1 (32abf9d6) | 19 | 19 | 0 | 0 | Success | 1779734518356 |
| stage-2 (a1ebaa08) | 19 | 19 | 0 | 0 | Success | 1779734522415 |
Every dial *between stages* succeeded. Only dials *to the
orchestrator* failed, and they failed by timeout. The last stage's
`InferenceResponse` is addressed to the orchestrator's inbox; if it
cannot dial the orchestrator, the response never lands. This table is
the proximate cause of the empty result.
### Relay-session field (gap 2) and conn type
stage-2's latest snapshot `body.iroh.relay_session`:
```
relay_url: http://146.190.110.128:7843/
status: connected
status_changed_at_ms:1779734401024
status_entered_at_ms:1779734401024
status_source: derived
```
The tunnel to the relay was **connected**, with `status_source:
derived` honestly flagging that iroh does not expose this natively
(per spec §2). So the failure is *not* "tunnel died" — it is "tunnel
alive, peer-connection-through-tunnel to the orchestrator dead." That
distinction was the explicit acceptance criterion for gap 2, and it
holds here.
`First peer to go Dead`: stage-2 marked stage-1 (`32abf9d6`) Dead at
`t=1779734428439`, reason `suspicion-timeout`. Both sides
`conn_type=Relay` (no direct hole-punch anywhere in the run). Observer
`probes_ok=yes`, peer `probes_ok=no`.
### SWIM churn and relay events (gap 3)
`SwimTransition: 1701` over a ~7-minute run — heavy flapping,
consistent with the relay-mediated reachability of a NAT'd
orchestrator and the §10.3 self-incarnation flap (see
`SWIM_TUNING_REPORT`). `RelaySessionStateChanged: 8`, `RelayChanged:
4`, `IrohConnTypeChanged: 8` — relay/transport flips are now on the
event stream, not just counter deltas.
### Kernel network drops (gap 11)
`udp.no_ports` delta across the run:
| node | udp.no_ports |
|-------------------|--------------|
| orchestrator | +1 |
| stage-0 | +139 |
| stage-1 | +134 |
| stage-2 | **+1424** |
stage-2 took ~10× the no-listening-port UDP drops of its siblings —
an interface-level corroboration of localized relay/hole-punch path
instability, surfaced automatically in the summary.
### Gossip receipts (gap 10)
| node | swim_piggyback | bytes | items |
|--------------|----------------|--------|-------|
| orchestrator | 806 | 263825 | 1607 |
| stage-0 | 1589 | 522855 | 3178 |
| stage-1 | 563 | 194236 | 1183 |
| stage-2 | 1082 | 340115 | 2069 |
Every node received gossip. Gossip starvation is ruled out — the
flap is not "a node never heard membership," it is "membership churned
because the underlying relay path to a peer was unreliable."
### UDP echo probes (collector tier-2)
| node | result |
|--------------|---------------------------------|
| orchestrator | ok, rtt=293 ms, 34/35 |
| stage-0 | ok, rtt=181 ms, 55/55 |
| stage-1 | ok, rtt=405 ms, 27/28 |
| stage-2 | ok, rtt=184 ms, 38/38 |
All nodes had clean tier-2 reachability to docean:9081 — i.e. the
hosts themselves were on the network. The failure was at the iroh
peer-connection layer, not raw host reachability.
### iroh version honesty (gap 6)
`iroh_version: "0.98.2"` on every node and in every
`iroh_api_missing` event (4 total) — matches `Cargo.lock`. The
hard-coded `"0.96"` literal from `1779720002` is gone. The API-gap
list now also carries the `RelayTunnel.*` derived-field markers.
## Observability upgrade scorecard
What this run confirms the upgrade delivers, versus what it doesn't:
| gap | status | evidence |
|-----|--------|----------|
| 2 relay-session field | ✅ | `relay_session.status=connected, status_source=derived` |
| 3 relay events | ✅ | `RelaySessionStateChanged: 8`, `RelayChanged: 4` |
| 4 subprocess introspector | ✅ | `SubprocessSpawned: 3`; worker ruled out |
| 6 iroh version honesty | ✅ | `0.98.2` everywhere, lockfile match |
| 7 bundle without finalize | ✅¹ | `GET` returned a usable 9.3 MB bundle; ¹run-id reuse exposed stale-canonical serve + sticky finalize flag |
| 9 per-peer dials | ✅ | the orchestrator-reachability table (the headline finding) |
| 10 gossip receipts | ✅ | per-node `swim_piggyback` breakdown |
| 11 kernel counters | ✅ | stage-2 `udp.no_ports +1424` surfaced |
| 1 relay observability | ◐ | relay reports identity + 186 snapshots, but per-session lifecycle is the documented skeleton: `active=0 opens=0 closes=0` (iroh-relay exposes no session hooks) |
| 5 host metadata | ◐ | `container_id`/`hostname`/`git_sha`/`iroh_version`/`binary_version` present; `host_ip_public`/`datacenter_id`/`host_country`/`vastai_contract_id` still **null** — provider fields not forwarded. (The contract id does arrive, but in `container_id`, not `vastai_contract_id`.) |
| 8 relay-port probe | ✗ | not present: stage probe arrays carry only `collector_udp_echo` (:9081); no relay-port (:7843) probe |
A+B+C (the tiers the previous investigation needed) all landed and
were load-bearing here. The polish/robustness tiers (5 ip/dc/country,
7 finalize edge cases, 8 relay probe, 1 relay session lifecycle) have
remaining work.
## Data-collection / deployment gaps surfaced by this run
1. **Host provider fields not forwarded (gap 5 incomplete).** The
orchestrator has each rental's public IP, datacenter, country, and
contract id at `lease_chain` return, but only the docker container
id (landing in `container_id`) and hostname reach the boot record.
`host_ip_public`/`datacenter_id`/`host_country`/`vastai_contract_id`
/`home_relay_url_at_boot` are still null. "Which rental was
stage-2" is answerable only via the `container_id`↔contract map,
not the dedicated fields.
2. **gap-7 stale-canonical serve on run-id reuse.** A finalize from an
earlier phase of the same run id pins a stale cached bundle, and
`finalize_received` is sticky in collector memory across staging
deletion. Serve logic should prefer the richer of {canonical,
synthesized-from-current-staging} or rebuild canonical when staging
has grown past the cached bundle.
3. **No relay-port reachability probe (gap 8 absent).** Whether
stage-2 could reach docean:7843 (the relay) at moment T is still
inferred from a different port (:9081 echo). The exact gap the
previous post-mortem flagged remains open.
4. **Relay per-session lifecycle still skeleton (gap 1).** The relay
reports into the bundle but cannot yet say "who closed session X
and why" because `iroh_relay::server` exposes no session hooks.
Until it does, "was this a relay-side eviction" is unanswerable
from the relay side; we relied on node-side dial outcomes instead.
5. **No response-leg instrumentation.** The conclusion "last stage
could not deliver the response" was inferred from dial timeouts +
absence of an inbound response, not from a typed event on the last
stage ("attempted to send InferenceResponse to orchestrator,
outcome=…"). A response-send event would make this a direct read
rather than an inference.
6. **Environmental: orchestrator topology is the root cause.** A
locally-run, NAT'd orchestrator with no direct port is reachable
only via the relay, and the relay path to it proved unreliable
under load (7/11 inbound dials timed out, 1701 SWIM transitions).
Running the orchestrator on a reachable host (e.g. docean) or
giving it a direct/forwarded port is the likely fix to test next.
7. **`DEPLOYMENT_TEST.md` GPU flag is wrong.** Line 84 shows
`--gpu RTX_4090`; vast.ai matches `gpu_name` literally and the
underscore form returns 0 offers. The orchestrator's own default
is the correct `"RTX 4090"`. Fix the runbook example.
## Artifacts
In `.vastai-logs/` (gitignored) after recovery:
```
vastai-N3-1779733878.bundle.tar.gz full synthesized bundle (9.3 MB, 5 nodes)
vastai-N3-1779733878.staging-full.tar.gz raw collector staging backup (~10 MB)
vastai-N3-1779733878.tar.gz the stale 5.3 KB canonical bundle (kept for reference)
vastai-N3-1779733878.log orchestrator stdout (both launch attempts)
vastai-N3-1779733878.out/summary.md postproc summary
vastai-N3-1779733878.out/reachability.tsv
vastai-N3-1779733878.out/timeline-*.tsv per-link timelines
```
Staging copy retained on docean at
`/var/lib/swactor-diag/vastai-N3-1779733878/` (minus the removed
`e8151ed8` junk node).
## Infrastructure state at end of session
- docean (`146.190.110.128`): collector and relay running (rebuilt
static-musl binaries from `e8be135`). The relay is **still pinned to
`SWACTOR_DIAG_RUN_ID=vastai-N3-1779733878`** and continues appending
periodic snapshots to that run's staging; the next run's redeploy
re-pins it. Re-pulling the bundle later will include those extra
relay snapshots.
- vast.ai instances under `$VAST_API_KEY`: **0** (verified).

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# N=3 sim-test battery — behavioral specification
Companion to `N3_POSTMORTEM_2026-05-25.md`, `N3_DATA_GAPS.md`,
`N3_DEPLOYMENT_REPORT.md`, `SIM_HARDENING_SPEC.md`, and the simulator's
`SIM_SPEC.md`. This document is the contract for a separate coding agent
that will land a battery of simulator tests covering the general failure
shapes the latest deployment exposed.
This is a *behavioral* spec. It names the failure shapes, the contracts
each test must establish, and the verdicts each must produce. It does
not prescribe file layout, TOML field values, or internal helper code.
---
## 0. Motivation and framing
The 2026-05-25 deployment surfaced one new failure shape (`stage-2`'s
relay-mediated path died at ~5 s and never recovered, while its tunnel
to the relay apparently survived) layered on top of failure shapes
prior deploys also exhibited (silent-worker subprocess, gossip-only
membership view, asymmetric host reachability, bundle-recovery only
via staging-file scrape). Together these are the **general** failure
cases the battery must cover — not one scenario per postmortem, but a
*family* per shape, as `SIM_HARDENING_SPEC.md §5` requires.
The simulator has now landed every observability and sim-cross-
pollination contract those postmortems demanded (`F1`–`F3`, `S-A1`
through `S-E2`; see `.loop/verdict.md`). The pieces needed to express
these scenarios all exist: `MutationKind::RelayPeerConnDown`, the
`stage` host kind with `WorkerExit`, the `relay` vertex with policy
mutations, and the §10.1 assertion catalog. **The battery is the
exercise of those pieces against the latest deployment's known shapes,
expressed end-to-end through scenario files and verdicts — not new
sim machinery.**
Why a *battery* rather than one test per shape: the
`SIM_HARDENING_SPEC §5` family rule. A fix that resolves the
2026-05-25 incident's specific timing (relay-peer-down at +5 s) but
regresses a sibling instance of the family (relay-peer-down at +30 s,
or during partition heal, or on only the inbound leg) is a regression
the battery must catch.
A diagnostic deployment is running concurrently to gather data we
don't yet have for the silent-worker class. This spec is written
against the evidence already in the bundle from 2026-05-25; the
implementing agent should not block on that deploy's results. When
results land they will sharpen the parameters of family **B**
(silent-worker) but will not change the shape of the battery.
---
## 1. Cross-cutting requirements
These hold for every family in §3.
### 1.1 No white-box / structural tests
A test in the battery passes or fails based on the *bundle* the
scenario produces and the verdicts the §10.1 assertion catalog
returns against that bundle. No test reads simulator internals, no
test inserts a value via one API path and reads it back via another,
no test asserts that an internal Rust struct has a particular field
shape. A test that would survive a refactor of the engine, the
network, or any host kind, but fail when the *deployment-relevant
behavior* drifts, is a test that belongs.
Litmus test: if removing the assertion would change the bundle's
prose summary in a way a deployment investigator would notice, the
assertion belongs. If removing it would not, the assertion is
echoing internals and does not belong.
### 1.2 Test taxonomy and priority
Each family ships at least one **scenario test** (story-shape:
declared scenario + declared assertion + declared expected verdict)
and where the parameter space is large, at least one **property
test** (a parameterized scenario whose `seed` ranges over the §1.3
family axes). Scenario tests are mandatory; property tests are
required only where §3 names them.
A small number of **contract tests** sit alongside the families: they
assert that the bundle's event schema matches the production
diagnostics schema for the event kinds the battery exercises (the
`SubprocessSpawned`/`SubprocessExited`, `RelaySessionStateChanged`,
`GossipReceived`, and `Tier2RelaySession` shapes the observability
upgrade landed). The contract tests are not per-family; they live
once and protect every family from sim/prod drift.
### 1.3 Family-based, not single-seed
Every family in §3 declares its **mutation axes** — the dimensions
along which the postmortem's parameters are "plausibly variable in
the wild" per `SIM_HARDENING_SPEC §5`. The family's scenario tests
cover the central case (the specific incident's parameters) and the
named extreme cases (e.g., "session closes at +1 s" and "session
closes at +5 min" for family A). The family's property test ranges
over the axes within their declared bounds.
### 1.4 Deterministic replay
Every scenario test's `(scenario, seed)` is recorded in the test
itself; running the test produces a byte-identical bundle to any
previous run on any supported architecture. A property-test failure
prints the seed; running the scenario with that seed reproduces the
failure. This is mechanical — the simulator already guarantees it
(`SIM_SPEC.md §7`); the battery must not undo it. No test reads any
wall-clock or system source of randomness.
### 1.5 Sub-second per scenario
A 3-node scenario test (including bundle assembly and verdict
evaluation) completes in under one second on the developer's
machine. The full battery completes in under thirty seconds locally
and under three minutes in CI. A scenario that grows above this
budget is a regression in the test, not in the simulator; the test
author tightens the scenario rather than relaxing the budget.
### 1.6 Verdict-first
Every test in the battery declares its **expected verdict on the
current source** before it lands: `Pass` (the simulator already
satisfies the contract; the test guards against regression), `Fail`
(the simulator currently violates the contract; landing the test
makes the failure visible, and the test is expected to pass after a
fix names in §4), or `Mixed` (some seeds pass, some fail — typical
for property tests against a probabilistic shape).
A test landing as `Fail` is **not** a build break in the test
binary; it is a verdict in the bundle's `verdicts.json` whose CI
exposure is named in §1.7. A test landing as `Pass` runs with
`#[test]` semantics — a regression in the simulator is a CI break.
### 1.7 CI exposure
Tests with expected verdict `Pass` run as standard `cargo test`
binaries under `crates/simulation/tests/`. Tests with expected
verdict `Fail` or `Mixed` run as a separate
`cargo test --package simulation --test battery_expected_failures`
binary that asserts the verdict matches expectation (`Fail` →
`Fail`, `Mixed` → at least one `Fail` across the seed range, at
least one `Pass`). Promoting a `Fail` test to `Pass` after a fix is
a one-line move between binaries and a deletion from the expected-
failures registry; the implementer should make this move trivial.
### 1.8 Library layout
The battery's scenarios live under
`crates/simulation/scenarios/reproduction/n3_2026_05_25/`, one
subdirectory per family. Each family directory contains:
- A `README.md` naming the family, pointing at the postmortem, and
listing the family's mutation axes.
- One scenario file per named central or extreme case
(`central.toml`, `extreme_*.toml`).
- A `property.toml` file declaring the property-test seed range and
axis bounds where §3 requires a property test.
This layout is the existing `scenarios/reproduction/` convention
extended one level. No new top-level directories.
---
## 2. The shared scenario shape
Every scenario in the battery has the following shape unless its
family in §3 names a divergence:
- **Three peers**: one orchestrator-kind, two stage-kind. IDs
`orch`, `stage-0`, `stage-2` (the latter named to match the
postmortem's victim peer). The third stage from production is
omitted only when its absence does not change the shape of the
failure under test; families that require N=4 to manifest must say
so explicitly. (`stage-1` may appear as a peer in families that
need it; otherwise the simulator's N=3 minimum is the target.)
- **One relay vertex** `R`, with policy seeded from the
`vastai-N3-2` calibration scenario (own-relay shape — widened
egress, modest queue depth). Per-family scenarios may tighten or
loosen this; the central case for each family uses the calibration
defaults.
- **Routing**: all host-to-host edges declared `via = R`. The 2026-
05-25 incident exercised the relay path exclusively; no direct
edges in the battery's central cases. Extreme cases that need
direct edges declare them per `SIM_SPEC.md §8.1`.
- **Duration**: 10 simulated minutes (`duration_ns = 600_000_000_000`)
matching the 2026-05-25 run's wall-clock budget. Scenarios may
shorten but not lengthen — long scenarios violate the sub-second
budget in §1.5.
- **Snapshots**: at least one snapshot per peer per simulated
minute, plus a snapshot one virtual nanosecond before and one
after every named fault, so the bundle reader can see the state
on each side of each transition. (This is a property of the
scenario, not of the engine: the scenario's `[[snapshots]]` array
declares these.)
- **Assertions**: each family in §3 names its required assertions.
Scenarios may add further assertions from §10.1 to tighten the
contract; they may not remove or relax the named ones.
---
## 3. The families
Six families, each named for the failure shape it covers. Families
A, B, and C are derived directly from the 2026-05-25 incident.
Families D, E, and F are derived from the broader N≥3 deployment
history that the latest run did not contradict and should not
regress.
### Family A — Relay-mediated peer-connection drop with surviving tunnel
**Source**: `N3_POSTMORTEM_2026-05-25.md` "iroh state — orchestrator's
view of stage-2"; `N3_DATA_GAPS.md` gaps 1, 2, 3.
**Shape**: A peer-to-peer path through a relay opens, succeeds for a
short window, then dies. The relay's tunnel to the victim peer
remains apparently healthy — the victim's `Tier2RelaySession.status`
stays `connected` or is reported as such by the relay, while the
orchestrator's `connection_cache[victim].last_failure_reason` shows
the path closed. iroh does not re-establish.
**Central case** (`central.toml`): `RelayPeerConnDown { relay: R,
from: orch, to: stage-2, at_ns: 5_000_000_000, duration_ns: 0 }`
(permanent until run end), inserted shortly after SWIM convergence.
No other faults.
**Mutation axes** (the family's parameter space):
1. `at_ns`: when the cut fires. Central +5 s; extremes +1 s, +30 s,
+1 min, +5 min.
2. `duration_ns`: how long the cut persists. Central permanent;
extremes 100 ms, 5 s, 30 s.
3. Direction: cut on `(orch → stage-2)` only, on `(stage-2 → orch)`
only, or on both. The 2026-05-25 evidence is ambiguous about
direction; the battery covers all three.
4. Flap: a sequence of `RelayPeerConnDown` mutations interleaved with
their natural recovery — close, reopen, close. Inter-flap durations
100 ms, 1 s, 5 s.
5. Phase: cut during SWIM convergence (before all peers Alive); cut
during steady-state after convergence; cut during a
`Partition`+`Heal` cycle's heal phase (per `SIM_HARDENING_SPEC §9`).
**Required assertions**:
- `no_flap_while_probes_ok { peer: stage-2, window_start_ns:
at_ns, window_end_ns: duration_ns_end }` — the family asserts the
*observability* contract that a relay-peer cut produces a typed
event chain (`RelayPeerConnDown` mutation record →
`RelaySessionStateChanged` or equivalent on the victim's view →
`connection-closed` in the observer's cache). What it does *not*
assert is that the simulator's SWIM tolerates the cut — the
current simulator does not.
- `event_count { kind: "RelaySessionStateChanged", min: 1 }` on
the central case — a cut must produce at least one transition
event for the bundle reader to see.
- `dead_peer_resurrects_within { peer: stage-2, after_ns:
heal_at_ns, within_ns: 30_000_000_000 }` on the finite-duration
extreme cases — once the cut lifts, the cluster must reconverge.
**Property test**: `property.toml` ranges seeds 0..256 over axes 1,
2, and 5. The seed search reports any seed whose run violates
`no_flap_while_probes_ok` while the cut is *not* active (a
false-flap during a healthy window — the bug class the family
exists to catch).
**Expected verdict on current source**: `Mixed`. The central case
is expected `Fail` against the current SWIM source (the
deployment's actual failure mode); the flap extreme and the
phase-during-heal extreme are also expected `Fail`. The finite-
duration extremes with short cuts may pass.
**Family closes when**: a fix lands that lets the central case
pass and at least the flap and phase-during-heal extremes pass,
with no other family regressing.
### Family B — Silent stage subprocess (never spawned, spawned-and-stuck, spawned-and-exited)
**Source**: `N3_POSTMORTEM_2026-05-25.md` "Custom (worker) events"
table (`stage-2` emitted zero `worker_starting`, zero `worker_ready`);
`N3_DATA_GAPS.md` gap 4; `SIM_HARDENING_SPEC §5`.
**Shape**: A stage's worker subprocess fails to reach the
`worker_ready` state. The stage actor itself is alive — snapshots
still arrive, events still flow — but no work begins. The failure
splits into three buckets per the §4 spec the observability upgrade
already landed: never-spawned, spawned-and-stalled-before-ready,
spawned-and-exited-before-ready.
**Central case** (`central.toml`): install a `SubprocessFakeSpec`
on `stage-2` with `never_ready = true`, no `exit_after_ns`. The
orchestrator's view: `SubprocessSpawned` arrives, no `worker_ready`
Custom event ever does. The sim already supports this via `F1`.
**Mutation axes**:
1. Bucket: `never_spawned` (no `SubprocessFakeSpec` installed at
all; stage actor never registers); `stalled` (spawned, never
ready); `early_exit` (spawned, exits before ready with named
exit code / signal).
2. `exit_after_ns` for the `early_exit` bucket: 100 ms (faster than
any plausible ready), 1 s, 10 s.
3. Number of victim stages: one (central), two (whole stage layer
silent), zero (control — all stages reach `worker_ready` —
sanity).
4. Whether SWIM convergence completes before or after the worker
silence is observable.
**Required assertions**:
- The bundle must make the three buckets distinguishable at the
verdict level. The discriminator is the joint state of
`SubprocessSpawned`, `SubprocessExited`, and the `worker_ready`
Custom event for the victim peer, with the buckets mapping as:
- `never_spawned`: `SubprocessSpawned == 0`, `worker_ready == 0`.
- `stalled`: `SubprocessSpawned == 1`, `worker_ready == 0`, no
`SubprocessExited` for the run's duration.
- `early_exit`: `SubprocessSpawned == 1`, `worker_ready == 0`,
`SubprocessExited == 1` with the declared reason.
- `name_resolves_within { name: "pp-entry", observers: [orch],
within_ns: 300_000_000_000, from_ns: 0 }` — the orchestrator's
resolution of the pipeline entry name must fail when any victim
stage is silent. The contract: `Inconclusive` is **not**
acceptable — the bundle must clearly say "the orchestrator looked
and the name was absent," not "we don't know if the orchestrator
looked."
**Property test**: not required for B. The bucket count is small
enough that all combinations land as scenario tests.
**Expected verdict on current source**: per-bucket. `never_spawned`
and `stalled` expected `Fail` on the `name_resolves_within`
assertion (correct — the cluster cannot resolve `pp-entry` if a
stage is silent). `early_exit` expected `Fail` on the same plus
`event_count { kind: "SubprocessExited", min: 1 }` with the
correct exit code observable in the bundle.
The battery's job here is to **prove the bucket is observable**, not
to prove the cluster recovers. Recovery from a silent worker is a
product question, not a sim contract.
**Family closes when**: the bundle's `summary.md` (rendered through
`swactor-diag-postproc`) names which bucket the victim stage is in,
in human-readable prose, for every scenario in the family.
### Family C — Gossip-arrival absence (control-plane vs data-plane discriminator)
**Source**: `N3_POSTMORTEM_2026-05-25.md` "iroh state — stage-2's
view of itself" (`peers: [orchestrator only]`); `N3_DATA_GAPS.md`
gap 10; `SIM_HARDENING_SPEC` §1 and §2.
**Shape**: A victim peer's local membership view contains only the
orchestrator, never its siblings. Two possible causes are
indistinguishable from the postmortem bundle: gossip about siblings
never arrived (control-plane failure), or gossip arrived but the
dials based on it never connected (data-plane failure). The battery
must let a single scenario+verdict pair disambiguate these.
**Central case** (`central.toml`): a `Partition` mutation that
isolates `stage-2` from `stage-0` and `stage-1` at the
network-graph layer (no direct, no relayed route between them),
while leaving each stage's path to `orch` intact. Stage-2 should
never receive gossip naming stage-0 / stage-1.
**Mutation axes**:
1. Topology: full isolation (central); one-way isolation (stage-2
receives gossip, dials silently dropped); periodic gossip drops
modulated by `LossBurst`.
2. Whether the orchestrator's gossip-piggyback ever names the
siblings (which depends on its own membership view at the time
stage-2 boots and receives its first ping).
**Required assertions**:
- `event_count { kind: "GossipReceived", peer: stage-2,
payload_kind: "NameRegistry", min: N }` where `N` depends on the
axis: for the central case, `N >= 1` (gossip must reach
stage-2); the assertion lets us prove the discriminator. A
scenario in which gossip *did* arrive but dials failed produces
`GossipReceived >= 1` and `DialOutcome` with failure reasons for
the siblings; a scenario in which gossip never arrived produces
`GossipReceived == 0`. The two bundles are now distinguishable
by the verdict.
- `event_count { kind: "DialStarted", peer: stage-2, target: stage-0,
min: 1 }` on the one-way-isolation axis: dials must be observable
in the data-plane-failure case.
**Property test**: not required.
**Expected verdict on current source**: `Pass` for all cases — the
observability upgrade landed `GossipReceived` (`S-E2`) and the
per-peer dial rollup (`S-A3`), so the discriminator is already
expressible. The battery's job is to *guard* this contract against
regression in the simulator or in the post-processor.
**Family closes when**: a probe-by-grep against the bundle's
`summary.md` confirms the discriminator is named in prose, not
buried in raw event counts.
### Family D — Asymmetric host reachability (NAT / mapping pathology)
**Source**: `N3_POSTMORTEM_2026-05-25.md` "UDP echo probes" (stage-2
1/12 timeout while others were clean); `N3_DATA_GAPS.md` gaps 8 and
11; `SIM_HARDENING_SPEC §2` host-environment-level faults.
**Shape**: One peer's host network behaves correctly *most* of the
time, but exhibits asymmetric loss, NAT-rebind, or kernel-UDP-buffer
overflow in a pattern that downstream iroh layers cannot
distinguish from a relay-side issue or a peer-software issue. The
postmortem could not tell which.
**Central case** (`central.toml`): a `LossBurst` on
`(stage-2 → R)` with `prob_ppm = 80_000` (8% loss) lasting 30 s
during steady state. This is the smallest fault that produces the
postmortem's "one peer flaky, others clean" symptom.
**Mutation axes**:
1. Symmetry: loss on outbound from victim, on inbound to victim,
on both directions, none (control).
2. Burst shape: continuous low-rate loss vs short high-rate burst.
3. Co-occurrence: loss alone vs loss + clock skew on the same peer
(compound — per `SIM_HARDENING_SPEC §7`).
**Required assertions**:
- The bundle's UDP echo probe records must show the victim's
outcome distribution (`ok` / `timeout` / `refused` / `unresolved`
/ `error`) differing from the other peers' by a margin evident
to a human reader.
- Across the run, the victim's
`Tier3InterfaceCounters.rx_packets_dropped` or
`Tier3UdpKernelStats.in_errors` is non-zero in the bundle, while
the other peers' is zero. This is the "kernel saw the loss, not
just iroh" contract gap 11 demanded.
**Property test**: required, seeds 0..128. Range over axes 1 and
2. The property: for every seed in which the victim's UDP echo
shows >5% loss, the bundle must surface a non-zero kernel-counter
delta on the same peer. (This is the discriminator gap 11 asked
for.)
**Expected verdict on current source**: `Mixed`. The observability
upgrade landed kernel counters in the bundle (`S-A4`); the
simulator's stage host needs to emit `Tier3InterfaceCounters` under
the loss-burst mutation for the discriminator to hold. If it does
not, that is a sim-coverage gap belonging in `SIM_BLIND_SPOTS.md`
per `SIM_HARDENING_SPEC §10`, not a reason to relax the assertion.
**Family closes when**: the property test runs to 128 seeds with
the loss-discriminator holding on every seed it sees loss; the
sim-coverage gap, if it exists, is filed.
### Family E — Bundle integrity under operator SIGKILL
**Source**: `N3_POSTMORTEM_2026-05-25.md` "Bundle recovery";
`N3_DATA_GAPS.md` gap 7; observability upgrade `S-D` (bundle
without finalize).
**Shape**: The orchestrator is killed ungracefully (SIGKILL via
TaskStop, not graceful shutdown). No finalize record is written.
The diagnostic bundle must still be assemblable from staging files
on disk, with `manifest.finalize_received: false`.
**Central case** (`central.toml`): a `PeerKill { peer: orch,
at_ns: 60_000_000_000 }` mutation 60 s into the run. No
`PeerResurrect`. The scenario's `duration_ns` extends 30 s past
the kill so the collector has time to observe and the bundle has
time to coalesce.
**Mutation axes**:
1. Timing of kill: during convergence, during steady state, during
a partition heal.
2. Which peer: orchestrator, a stage, the relay.
**Required assertions**:
- The bundle's `manifest.json` must exist and contain
`finalize_received: false`.
- Every peer's pre-kill events and snapshots must be present in
the bundle (the kill must not erase prior records).
- The `verdicts.json` must contain a verdict for every declared
assertion, with `Inconclusive` for any assertion whose
preconditions did not fire (e.g., a steady-state assertion when
steady state was never reached).
**Property test**: not required.
**Expected verdict on current source**: `Pass`. The observability
upgrade landed `S-D` (bundle assembly without finalize). This
family guards that contract against regression.
**Family closes when**: every scenario in the family produces a
parseable bundle whose `summary.md` renders cleanly through
`swactor-diag-postproc`.
### Family F — Compound faults under recovery
**Source**: `SIM_HARDENING_SPEC §7` and §9.
**Shape**: Two or more faults active during a single recovery
window — a partition heal during a relay-peer-down, a clock skew
during a worker respawn, a kernel UDP overflow during SWIM gossip
burst. The 2026-05-25 incident is consistent with at least two
overlapping faults (relay-peer-down + silent-worker); the battery
must cover the next overlap before it lands in prod.
**Central case** (`central.toml`): a `Partition` cutting `stage-2`
from `stage-0` from t=10 s to t=30 s; a `RelayPeerConnDown { from:
orch, to: stage-2, at_ns: 20_000_000_000, duration_ns:
20_000_000_000 }` overlapping the partition's last 10 s and
extending 10 s past its heal. The scenario tests whether SWIM
behaves under the *overlap* and the *heal* sequence the postmortem
mentions but did not isolate.
**Mutation axes**:
1. Which two faults overlap (cross product of the four single-fault
families above, restricted to combinations that produce
distinguishable bundles).
2. Overlap geometry: full overlap, partial overlap, abutting (one
ends as the other begins).
3. Recovery phase: which recovery phase the second fault hits, per
`SIM_HARDENING_SPEC §9`.
**Required assertions**: family-dependent — each compound test
combines the assertions of its constituent families. The compound
test passes only if every constituent assertion holds.
**Property test**: required, seeds 0..512. Range over all three
axes. The property: any seed in which a compound bundle violates
*more* assertions than the sum of the constituents' individual
violations is a true compound bug, reported separately.
**Expected verdict on current source**: `Mixed`. Compound failures
are the under-tested corner; the implementing agent should expect
to find at least one new sim-coverage gap during this family's
implementation and file it.
**Family closes when**: at least one compound bug is either fixed
or filed as a sim-coverage gap with a structural reason.
---
## 4. Out of scope
- Tuning the simulator's existing scenarios under
`scenarios/calibration/` or `scenarios/smoke/`.
- Adding new failure shapes the 2026-05-25 deployment did not
surface (the diagnostic deployment running in parallel may; if
so, those land as a new spec, not as an amendment to this one).
- Changes to the simulator's engine, network, host kinds, bundle
writer, or post-processor. The battery exercises them; it does
not modify them.
- Changes to the production diagnostics code path. The
observability upgrade landed; the battery consumes its output.
- Documentation of the simulator beyond `SIM_BLIND_SPOTS.md`
amendments. `SIM_HARDENING_SPEC.md` and `SIM_SPEC.md` already
exist; this document is the only new prose required.
---
## 5. References
- `N3_POSTMORTEM_2026-05-25.md` — source for families A, B, C, D, E.
- `N3_DATA_GAPS.md` — source for the gap-named contracts each
family asserts the simulator's bundle must satisfy.
- `N3_DEPLOYMENT_REPORT.md` — historical context: Layers A/B/C from
the prior eight deploys.
- `N3_OBSERVABILITY_UPGRADE_SPEC.md` — the contract the bundle
*already* satisfies. The battery consumes that contract.
- `SIM_HARDENING_SPEC.md` — the family / mutation-axis discipline
that §1 and §3 above enforce.
- `crates/simulation/SIM_SPEC.md` — the simulator's behavioral
surface. §3.1 components, §5.5 mutations, §6A stage host, §10.1
assertion catalog, §8 scenario format are the load-bearing
references.
- `.loop/notes.md`, `.loop/verdict.md` — the observability-upgrade
iteration log and verdict, current as of 2026-05-25; STATUS:
DONE, VERDICT: PASS.

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# N=3 SWIM retuning against deployed latency — behavioral spec
Companion to `N3_POSTMORTEM_2026-05-25_1779733878.md`,
`N3_COVERAGE_EXTENSION_SPEC.md`, and the simulator's
`SWIM_TUNING_REPORT.md`. This document is the contract for a SWIM
retuning pass that uses the `1779733878` deployment's observed
latency and churn data as the evidence the tune is calibrated
against — rather than the simulated 60 ms latency the prior tune
used.
This is a *behavioral* spec. It names the targets the retuning
must hit, the evidence each target is calibrated against, and the
prerequisites that must be in place before a retuning pass can be
evidence-driven rather than guess-driven. It does not prescribe
specific knob values.
---
## 0. Motivation
`SWIM_TUNING_REPORT.md` documented a prior tuning pass against the
§10.3 gossip-flap property and the three N3 calibration scenarios.
That pass collapsed `self_incarnation_peak` from 86–94 to 7–10 — a
significant win — but its calibration latency was **60 ms RTT with
15 ms jitter** (per §2 of that report). The simulator's calibration
scenarios used these numbers because the live bundles available at
the time did not surface per-SWIM-probe RTT.
The `1779733878` run exposes a different reality:
- **Tier-2 (host-level) UDP echo RTT**: orchestrator 293 ms,
stage-0 181 ms, stage-1 405 ms, stage-2 184 ms. p99 spread is
multi-hundred-millisecond and asymmetric across peers.
- **Topology**: every peer connection is `conn_type=Relay`. No
hole-punching succeeded. SWIM probes ride a relay-mediated path
whose RTT is strictly higher than the tier-2 floor and is
subject to relay-side HOL queueing.
- **Observed churn**: 1701 `SwimTransition` events over a ~7-minute
run while iroh continued to exchange messages (`connect-timeout
count = 0`). The chosen `probe_timeout = 15 ticks = 3 s` was
selected against 60 ms RTT; against a relay-mediated path with
p99 multi-hundred-millisecond tier-2 floor and load-driven
queueing on top, that budget may be marginal or worse.
- **Configuration**: the prior tune's knobs landed at
`probe_interval=10, probe_timeout=15, suspicion_timeout=75,
indirect_probes=2, dead_reprobe_interval=50` ticks plus
`max_piggyback=6`. These are committed defaults; the question
this spec opens is whether they hold under the observed
deployment shape, not whether the prior tuning method was
correct.
The previous postmortem (run `1779720002`) could not have driven
this retune: its bundle lacked the data the observability upgrade
landed afterward. The `1779733878` bundle is the first one rich
enough to retune against. This spec captures the contract that
retuning must satisfy.
---
## 1. Prerequisites
Retuning is not evidence-driven until the data the tune calibrates
against is in the bundle. Three prerequisites are explicit.
### 1.1 Coverage 2.6 from `N3_COVERAGE_EXTENSION_SPEC.md`
Per-SWIM-probe RTT events and the post-processor's `## Probe RTT
distribution` section must land in production *and* in the sim
adapter. Until this coverage is in place:
- The deployed evidence is tier-2 RTT (UDP echo to the collector),
which understates the relay-mediated SWIM RTT by an unknown
factor.
- The simulator's `no_flap_while_probes_ok` assertion is
`Inconclusive` on every SWIM scenario (per
`SWIM_TUNING_REPORT.md` §6.3), so the assertion can neither
pass nor fail the retune.
A retuning pass that lands without 2.6 is a guess against
tier-2 latency — the same mistake the prior tune made against
60 ms simulated latency, only with a different proxy for the real
number.
### 1.2 Determinism fix from `SWIM_TUNING_REPORT.md` §6.7
`MemberList`'s `HashMap<NodeId, _>` randomises iteration order per
process; the prior tune reports ±20 % run-to-run variance as a
result. A retuning pass that has to average across five samples
per grid point to estimate variance is exactly five times slower
and five times noisier than one against deterministic substream
selection. `HashMap` → `BTreeMap` is the one-line fix the prior
report names; it must land before retuning, not after, so the
retune's results have signal-to-noise high enough to read.
### 1.3 The Layer-B1 refute-on-stale-Suspect bug (`SWIM_TUNING_REPORT.md` §6.1)
`crates/distribution/src/swim/node.rs::apply_membership_update`
refutes against `self_id()` whenever
`update.state ∈ {Suspect, Dead}` regardless of whether
`update.incarnation` is current. This creates a non-zero floor on
`self_incarnation_peak` that no tuning can collapse. A retuning
pass against the `1779733878` shape, where the relay-mediated path
keeps stale Suspect entries in the dissemination queue for many
probe cycles, will hit this floor and conclude — incorrectly —
that further tuning gain is unavailable.
The one-condition gate the prior report names is the
priority-1 follow-up the prior tune deferred. It is a
prerequisite for evidence-driven retuning against this deployment,
not a downstream cleanup.
---
## 2. Calibration data the retune is driven by
The retuning pass's evidence comes from the `1779733878` bundle
(and any subsequent N=3 deploy bundles that land before the
retune). Three numbers anchor the calibration:
### 2.1 Observed tier-2 RTT distribution
| node | RTT (ms) | echo success |
|--------------|----------|--------------|
| orchestrator | 293 | 34/35 |
| stage-0 | 181 | 55/55 |
| stage-1 | 405 | 27/28 |
| stage-2 | 184 | 38/38 |
The tier-2 echo path is collector-bound, not peer-bound. It
establishes the floor below which a relay-mediated SWIM probe
cannot land.
### 2.2 Per-SWIM-probe RTT distribution (post coverage 2.6)
After coverage 2.6 lands, the bundle will carry per-probe RTT
distributions per (observer, target) pair, plus per-bucket
distributions over the run window. The retune calibrates
`probe_timeout` such that the configured budget exceeds the
observed p99 of legitimate (non-failure) probe RTT with a margin
the retune explicitly justifies. Until 2.6 is collected against a
live run, the retune uses §2.1 as a lower-bound proxy and is
explicit about that.
### 2.3 SWIM churn and dial outcomes
`SwimTransition: 1701` across a ~7-minute run is the load-bearing
churn signal. The retune is calibrated such that a scenario
configured to mirror the `1779733878` shape produces a churn
count within a stated factor (target: <300, an order-of-magnitude
collapse comparable to the prior tune's `self_incarnation`
collapse).
Per-peer dials from the postmortem (orchestrator 7/11 timeout,
inter-stage 19/19 success) are the discriminator the retune must
not undo: a retuned SWIM that makes inter-stage probes flap is a
regression even if it makes orchestrator-bound probes more stable.
---
## 3. Retuning targets
Six, ordered by load-bearing impact.
### 3.1 `probe_timeout` against relay-mediated p99 RTT
**Target**: `probe_timeout` exceeds the bundle's observed p99 of
legitimate probe RTT (post-2.6) by a margin the retune justifies
in prose — the margin must account for relay-side HOL queueing
peaks the steady-state distribution does not capture.
**Anti-target**: the budget cannot be set so high that suspicion
takes longer than the operator's deadstop threshold. The
postmortem named ~7 min as the operator's deadstop budget; SWIM's
detection time (`probe_timeout + suspicion_timeout`) must remain
well under that, with a documented headroom.
**Evidence**: per-probe RTT histogram from §2.2; SwimTransition
churn count from §2.3.
### 3.2 `suspicion_timeout` under relay-mediated reachability
**Target**: a peer whose relay-mediated path is intermittently
unreachable (the `1779733878` shape — repeated probe failures
interleaved with successes) does not flap between Alive and
Suspect more than the prior tune's bound on the gossip-flap
property, when the scenario mirrors the deployment's latency
distribution.
**Anti-target**: a peer whose path is genuinely dead is not
falsely held Alive past the operator's deadstop window.
**Evidence**: §2.3 churn count; the `no_flap_while_probes_ok`
assertion (now resolvable post-2.6) against the calibration
scenario.
### 3.3 `indirect_probes` count against relay HOL behavior
**Target**: indirect probes still provide redundant coverage when
the direct probe times out, but their cumulative bandwidth
contribution to the relay's egress queue does not push the
`relay_queue_depth_bounded` assertion to fail under own-relay
policy.
**Anti-target**: dropping the count below the prior tune's 2
collapses indirect coverage, which the prior tune's §5 already
documents.
**Evidence**: `relay_queue_depth_bounded` under own-relay calibration;
churn count from §2.3.
### 3.4 `probe_interval` against the dial-rate signal
**Target**: probe rate is set such that the orchestrator-bound
dial failures the `1779733878` run exhibited (7/11 timeout) do
not bottleneck convergence beyond a tolerance the spec names.
**Anti-target**: probe rate is not lifted so high that
`message_size_bounded` regresses against own-relay policy.
**Evidence**: per-peer dial table from §2.3; piggyback byte
totals from the bundle.
### 3.5 `max_piggyback` against observed gossip-receipt sizes
**Target**: piggyback gossip stays within the
`message_size_bounded` envelope under own-relay policy, given
the `1779733878` per-node piggyback byte totals (806–1589
piggybacks per node, 194–522 KB total).
**Anti-target**: lowering `max_piggyback` below the prior tune's
6 stops convergence within the property's window
(`SWIM_TUNING_REPORT.md` §5).
**Evidence**: gossip-receipt totals from the postmortem's "Gossip
receipts" section; `message_size_bounded` assertion under
own-relay.
### 3.6 `LifeguardConfig` wiring (formerly out of scope)
**Target**: the dynamic suspicion-timeout formula in
`crates/distribution/src/swim/lifeguard.rs` is wired into
`SwimNode`'s suspicion state machine. Until wiring lands, the
constants in `lifeguard.rs` have no observable effect — per
`SWIM_TUNING_REPORT.md` §6.5, the prior tune could not sweep "the
lifeguard band" because it was dead code.
This target is the only one that requires code beyond a knob
change. It is included here because the prior tune named it as a
priority follow-up and because the `1779733878` data motivates
adaptive suspicion: a path whose RTT varies 2× under load benefits
from adaptive timeouts more than a static budget can capture.
**Anti-target**: landing the wiring without sweeping its
parameters reproduces the prior tune's dead-code condition for the
new fields. The wiring must come with a sweep against the
calibration scenarios.
**Evidence**: the new dynamic-suspicion code path is exercised by
at least one scenario whose assertion verdict changes when the
multiplier changes.
---
## 4. Calibration scenario updates
The three N3 calibration scenarios under
`crates/simulation/scenarios/calibration/` were last updated to
mirror the prior tune's defaults at the scenario's 200 ms tick
(`SWIM_TUNING_REPORT.md` §3). The retune updates these scenarios
along two axes:
- **Latency distribution**: per-link latency is set against the
`1779733878` per-peer tier-2 RTT distribution, not the prior
60 ms baseline. Heavy-tailed per `SIM_HARDENING_SPEC §8` (the
prior battery spec's reference); the distribution's median, p95,
and p99 fall within tolerance of the live bundle's after
coverage 2.6 lands.
- **Topology**: every host-to-host link is routed through the
relay vertex (`via = R` in scenario syntax). The
`1779733878` shape had `conn_type=Relay` everywhere; the
calibration scenarios must reflect that to be evidence-faithful.
The scenarios' `kind_config` blocks are updated to the retune's
chosen operating point. The current calibration block (per the
prior report) gives probes a 333 ms budget against 60 ms RTT;
against multi-hundred-millisecond relay-mediated RTT, the same
budget under-budgets by an order of magnitude. The retune's new
budget is the §3.1 target.
---
## 5. Acceptance
The retune is complete when:
1. Every prerequisite in §1 is in place (coverage 2.6, the
determinism fix, the Layer-B1 gate).
2. Each target in §3 has a chosen operating point and a one-line
prose justification anchored to the §2 evidence.
3. The `1779733878` calibration scenario, configured to mirror
the deployment's latency and topology, produces fewer than
300 `SwimTransition` events in a 7-minute virtual run (an
order-of-magnitude reduction from 1701).
4. Inter-stage dial outcomes in the calibration bundle remain at
the `1779733878` shape (≥95 % success on inter-stage edges)
— the retune does not improve orchestrator-bound stability at
the cost of inter-stage flakiness.
5. The §10.3 gossip-flap property's `self_incarnation_peak` does
not regress from the prior tune's 7–10 band.
6. A retuning report (a successor to `SWIM_TUNING_REPORT.md`)
documents the new operating point, the evidence each knob
choice was calibrated against, the before/after numbers across
every calibration scenario, and the limits the retune could
not move.
---
## 6. Out of scope
- **Adding new SWIM features.** The retune adjusts existing knobs
and lands the Layer-B1 gate / Lifeguard wiring the prior report
named. New algorithmic features (push-pull anti-entropy,
alternative failure detectors) are not in scope.
- **Relay-side fixes.** The `relay_queue_depth_bounded` failure
on the canary topology is structurally out-of-reach for SWIM
tuning (`SWIM_TUNING_REPORT.md` §6.2). The retune does not
attempt to make canary pass; it does not regress own-relay.
- **Orchestrator-topology changes.** Running the orchestrator on
a reachable host (the `1779733878` postmortem's item 6) is a
deployment-shape change, not a SWIM-tuning change. The retune
is calibrated against the NAT'd-orchestrator shape because that
is the deployment we have, but the conclusion may be "even
optimally-tuned SWIM cannot stabilize this topology" — that
conclusion is a valid retune outcome.
- **The gossip-flap property's `self_incarnation_bounded`
assertion.** The prior tune collapsed it from 86–94 to 7–10
without removing the non-zero floor; the retune holds that
result. Removing the floor is the Layer-B1 fix's job (a §1.3
prerequisite, not a §3 target).
- **Scenarios beyond the calibration corpus.** The reproduction
and topology scenarios remain on their current SWIM config.
Retuning them is a follow-up that should wait for the
calibration retune to converge.
---
## 7. References
- `N3_POSTMORTEM_2026-05-25_1779733878.md` — source of the
observed latency distribution (§"UDP echo probes"), the churn
signal (§"SWIM churn and relay events"), the dial outcomes
(§"Per-peer dials"), and the topology context
(`conn_type=Relay` everywhere, NAT'd orchestrator).
- `N3_COVERAGE_EXTENSION_SPEC.md §2.6` — the data surface this
spec consumes. §1.1 of this spec is a hard prerequisite.
- `crates/simulation/SWIM_TUNING_REPORT.md` — the prior tuning
pass. §3 (configuration), §5 (tradeoff curve), §6 (limits) are
the load-bearing prior art the retune does not re-derive. §6.1,
§6.5, §6.7 limits are §1.3, §3.6, §1.2 prerequisites
respectively in this spec.
- `crates/simulation/SIM_SPEC.md` — the simulator's calibration
contract (§11) and the assertion catalog (§10.1) the retune is
scored against.
- `N3_SIM_TEST_BATTERY_SPEC.md` — the sim-test battery. A
retuned SWIM that regresses any battery family is a retune
regression, not a battery regression.

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@ -1,561 +0,0 @@
# Simulator hardening — behavioral spec
Sister doc to `N3_OBSERVABILITY_UPGRADE_SPEC.md` and `SIM_SPEC.md`. The
observability spec says *what the bundle must contain after a real or
simulated run*. The sim spec says *what the simulator's MVP must do*.
This doc says *what the simulator must do beyond the MVP to be a credible
pre-deployment gate* — the behavior that closes the loop "we keep
deploying to vast.ai, finding one bug, fixing it, and finding the next
one in the next deploy."
Throughout: every contract is testable. A simulator that does not
satisfy these may still be useful for hand-written reproductions, but
it does not earn the right to block or unblock a deployment.
## 0. Motivation
Eight live N≥3 deploys have produced eight distinct failure modes.
Each one has been caught only by spending GPU rental, waiting 45–90
minutes for the cluster to come up, and reading the bundle after the
fact. The fix lands. The next deploy surfaces the next bug. The sim,
in its current form, has not preempted any of these failures — it
reproduces them after we know what to look for.
The gap is not that the simulator is wrong. It is that the simulator
is *narrow*. It exercises one host kind (SWIM), one transport model
(direct or one-relay), one fault dimension at a time, and one scenario
per fault. Production exercises three host kinds, two transports
stacked, multiple faults stacked, and a continuous distribution of
timing and size. The bugs live in the cross-product the sim doesn't
visit.
We are not running a database. We do not need 10^10 simulated years.
We need to *extrapolate heuristically from known failure shapes* —
treat each postmortem as the seed of a family of scenarios, and let
the sim explore the family densely while ignoring the rest of the
state space.
## Cross-cutting requirements
1. **Same code, sim and prod.** Every actor whose behavior matters
for a known failure mode runs the same source in the sim as in
prod. The sim wraps the actor in an adapter that routes its time,
randomness, and I/O through the engine; it does not reimplement
the actor's logic. A bug fix that lands in the actor lands in the
sim automatically, with no separate sim-side change.
2. **Determinism from `(scenario, seed)`.** Every run is fully
reproducible from the scenario file and the engine seed. Two runs
of the same `(scenario, seed)` produce byte-identical bundles. A
bug surfaced by the fuzzer is replayable by a developer with a
single command and the printed seed.
3. **Heuristic over exhaustive.** The sim does not attempt to enumerate
reachable states. It samples densely around shapes that have
already broken in production and shapes that are structurally
analogous to those. The unit of effort is "explore the
neighborhood of one postmortem," not "explore the system."
4. **Failure surfaces at the moment of violation.** When an invariant
is broken, the run halts at the violating step, not at end-of-run.
The bundle records which invariant failed, the virtual time it
failed at, and the state of every host at that instant. A
developer reading the bundle never has to scroll backwards from a
downstream symptom to find the originating event.
5. **Bundle-shape parity with prod.** A bundle produced by the sim is
shape-identical to a bundle produced by a real deploy: same
manifest schema, same event kinds, same snapshot fields, same
post-processor output. A reader cannot tell sim from prod from
data alone. (This requirement is shared with the observability
spec's section "Sim cross-pollination.")
6. **Sub-second iteration.** A single sim run of a 3-node scenario,
including bundle assembly and invariant evaluation, completes in
under one second on the developer's machine. A failing seed found
by the fuzzer replays in under one second too. This is what makes
"extrapolate from a postmortem" cheap enough to do every time.
7. **What this is not.** Not a model checker. Not a proof of
correctness. Not a replacement for staging deploys. Not a
guarantee of zero bugs in prod. The sim is a high-bandwidth filter
between "developer believes the change is correct" and "developer
has paid two dollars and forty-five minutes to find out."
---
## 1. Production code path coverage
After this work, every actor whose misbehavior produced a known
production failure runs inside the sim engine, wrapped in a host
adapter, with its time / randomness / I/O routed through the engine.
The minimum set is:
- The SWIM state machine (already present).
- The iroh driver, including its relay-session state machine and its
per-peer connection cache.
- The subprocess driver (`swactor_process` or its successor),
including spawn, exit, signal delivery, and stdout/stderr capture.
- The pipeline stage supervisor lifecycle — the actor that owns "is
my worker up, did it emit `worker_ready`, did it die for an
internal reason."
- The orchestrator-side actor that consumes membership updates and
decides whether the cluster is ready to accept inference.
A node simulated by the engine is a composition of these host
adapters, wired to a single virtual clock, RNG, and network. A
scenario that names "node X runs the orchestrator role" instantiates
all four adapters for node X; a scenario that names "node Y runs a
stage" instantiates the stage subset.
When the production code for one of these actors changes, the sim
host kind for it does not need to be edited. The adapter is a thin
shim over the production trait surface; rebuilding the sim with the
new actor source is the only update required.
Acceptance: a scenario that boots three nodes (one orchestrator, two
stages), advances the virtual clock until SWIM converges, and
inspects the resulting bundle, exercises the same `iroh_driver.rs`,
`stage_actor.rs`, and SWIM code paths that a live `pp-smoke-run`
exercises. Code coverage measured on the sim run matches code
coverage measured on a live run to within a stated tolerance, with
the gap attributable to OS-call-site stubs only.
---
## 2. Fault catalog
After this work, every fault the sim can inject is a value of a
closed enum. A scenario expresses its fault sequence as a list of
those values plus their timing; the fuzzer composes new sequences
from the same enum.
The enum's variants cover, at minimum, the dimensions production has
already hit and the dimensions adjacent to them. Not exhaustive of
all possible faults — exhaustive of the failure classes the
postmortems and the observability spec name. Concretely:
- **Network-level**: drop a packet, delay a packet by a duration
drawn from a distribution, partition (symmetric or asymmetric)
between two host subsets, reorder a packet relative to others on
the same link, duplicate a packet, cap a link's bandwidth, jitter
link latency around a baseline.
- **Relay-level**: close a relay session for a named reason at a
named time, evict the relay's session for a peer when the relay's
per-peer queue exceeds a size, drop one relay's tunnel to one peer
while leaving its tunnel to others intact (the 2026-05-25 shape),
flap a relay session repeatedly within a window.
- **Subprocess-level**: refuse a spawn, spawn-and-immediately-exit
with a named exit code, spawn-and-stall-before-protocol-output,
exit mid-run with a named signal, OOM-kill the subprocess at a
named time, slow the subprocess's response loop by a factor.
- **Clock-level**: skew one node's clock by a duration, drift one
node's clock at a rate, freeze one node's clock for a window.
- **Host-environment-level**: rebind the node's NAT mapping mid-run,
change the node's apparent public IP, simulate a transient
unreachable network namespace, simulate kernel UDP-buffer overflow.
Each variant has a deterministic semantics under the engine's virtual
clock. The fault catalog is the same value in scenarios and in
fuzzer-generated sequences; there is no "scenarios can do this,
fuzzer can do that" asymmetry.
Acceptance: the 2026-05-25 incident is expressible as a single
scenario file whose `faults` list is six or fewer entries drawn from
the catalog above. Replaying that scenario produces a bundle whose
diagnostics match the live bundle's shape within stated tolerance.
---
## 3. Mid-run invariants
After this work, the engine evaluates a declared set of invariants
continuously during a run. When an invariant is broken, the engine
records the violation and halts the run at the violating step. The
bundle's `verdicts.json` names the broken invariant, the virtual
time, the host whose state triggered the break, and the engine event
that immediately preceded it.
Invariants are written declaratively and registered against the
engine at scenario load. The minimum set covers:
- Membership convergence within a stated time of partition heal.
- No node alternates between alive and dead more than N times in a
window (anti-flap).
- No microbatch lives without a stage assigned to it.
- No stage is assigned to two distinct microbatches simultaneously.
- Monotonic counters in snapshots are monotonic across consecutive
snapshots.
- Every `SubprocessSpawned` event is eventually followed by either
`SubprocessExited` or `worker_ready`.
- No relay session reports `connection-closed` more than N times
against the same peer in a window.
The set is extensible. Adding an invariant is the same shape of work
as adding a post-run assertion today — there is no parallel API to
learn.
Per-invariant overhead is bounded: an invariant that requires reading
the full event stream every tick is not a valid invariant. The
contract is that the invariant set, in total, costs no more than a
small constant factor over a run with no invariants.
Acceptance: a scenario that injects the 2026-05-25 fault sequence
halts within the simulated second that contains the relay-close
event, reports the relay-close as the triggering engine event, and
the anti-flap or relay-session invariant as the broken one. A
developer running the scenario sees the failure in under a second of
wall time.
---
## 4. Seed-driven exploration
After this work, a single binary takes a scenario and a seed range,
runs each seed against the scenario, and reports the first seed whose
run violated an invariant. The report is the seed, the scenario, and
the broken invariant — sufficient input for the developer to
reproduce the run byte-identically with one further command.
The seed parameterizes:
- Initial RNG state for every host.
- The order in which the network resolves ties when two events are
scheduled for the same virtual nanosecond.
- The specific timing of each fault within its declared window (a
fault declared as "between t=1s and t=10s" picks one instant from
that window per seed).
- The distribution sample for any latency / size / count drawn from
a declared distribution.
A scenario without faults but with declared distributions still
benefits from seed exploration: the fuzzer probes the joint
distribution, not just the explicit fault list.
Parallelism is at the seed level. Running N seeds is N times the
wall time of one seed divided by the developer's core count, with no
shared state between runs.
Acceptance: a scenario file plus `--seeds 0..1000` produces, within
ten seconds of wall time on a developer machine, either "no
violations" or a printed seed that replays to the same violation
deterministically. The replay command and its output are the same
shape as a hand-written scenario run.
---
## 5. Heuristic extrapolation from known failures
After this work, every postmortem produces a *family* of scenarios in
the simulator's library, not a single scenario. The family is
generated by mutating the postmortem's parameters along axes the
implementer declares as "plausibly variable in the wild."
For the 2026-05-25 incident, the family includes at minimum:
- The original timing (relay session closes at +5s, never reopens).
- Sessions that close at +1s, +30s, +60s, +5min.
- Sessions that close with reasons other than `connection-closed`.
- Sessions closed from the relay side vs. from either endpoint.
- Sessions that flap (close + reopen + close, with varying
inter-flap durations).
- Sessions that close on only one direction of the tunnel
(split-brain at the relay).
- Sessions that close during convergence, during steady-state
inference, during shutdown, during a partition heal.
The mutation axes are part of the scenario family's source. The
fuzzer ranges over them; a developer reading the library can tell
what is being varied and why. New mutation axes are added when a new
postmortem shows the existing axes were too narrow.
Coverage is *the family*, not the single seed. A new SWIM tuning
change that fixes the original 2026-05-25 case but regresses any
sibling case in the family is caught before deploy.
Acceptance: the 2026-05-25 family contains at least the variants
listed above, each parameterized rather than copy-pasted. Running
the family against the current SWIM source either passes all
variants (the deploy is unblocked) or names which variant fails (the
deploy is blocked on that variant).
---
## 6. Boundary-condition probing
After this work, the fuzzer explicitly samples values near boundaries
where distributed systems are historically fragile, in addition to
sampling the interior of declared distributions.
The boundaries are:
- **Size**: messages at exactly the max-payload limit, exactly one
byte over, exactly one byte under. Piggybacked gossip just below
the size where the relay starts buffering.
- **Timing**: faults at exactly the suspicion-timeout, exactly one
tick before, exactly one tick after. Probes arriving exactly at
the deadline. Snapshots taken at the exact moment of a state
transition.
- **Counts**: peer counts at the minimum supported (N=2), one above
(N=3, where multi-region failure modes emerge), one above the
default (N=4). Fault counts that exhaust a recovery budget by one.
- **State transitions**: faults injected during a state transition
rather than in a stable state — drop the first ack after a node
enters Suspect, kill a subprocess between `spawn` and the actor's
first `recv`, partition during a relay's session-renegotiation
handshake.
These are not separate scenarios. They are sampling biases applied
to the seed search: the fuzzer spends a declared fraction of its
seeds at boundary values rather than at distribution interiors.
Acceptance: a scenario whose `faults` list includes a partition
declared as "between t=1s and t=10s" produces, across a fuzz run,
seeds that placed the partition exactly at SWIM's protocol-period
boundary and seeds that placed it one tick before and after. The
fuzzer's verdict is sensitive to this — a SWIM change that's correct
in the interior but wrong at the boundary fails the run.
---
## 7. Compound and asymmetric faults
After this work, scenarios and the fuzzer can express faults that
are simultaneously active, faults that overlap in defined ways, and
faults that are directionally asymmetric.
The required shapes:
- **Stacking**: two faults active during the same window. A partition
active during a relay-session flap. A clock skew active during a
subprocess respawn.
- **Asymmetry**: a partition that drops A→B traffic but allows B→A.
A relay-eviction that affects one peer's outbound but not its
inbound. Latency that is one-way slow.
- **Ordering**: fault X starts exactly when fault Y ends, or with a
declared overlap, or with a declared gap.
- **Multi-victim**: one fault scoped to one peer pair, another scoped
to a different peer pair, neither aware of the other.
Single faults are an under-sampled corner of the state space, not
the typical one. The implementations of (5) and (6) compose into (7)
by default — a postmortem family that mutates one axis at a time is
incomplete; the fuzzer samples joint mutations as well.
Acceptance: a scenario expressing "partition A↛B from t=2s, relay
session A↮R closes at t=3s, clock skew on B starts at t=4s" loads,
runs, and is replayable from `(scenario, seed)`. A SWIM regression
that is correct under each fault alone but wrong under the stack is
caught by the fuzzer.
---
## 8. Heavy-tailed distributions
After this work, every distribution the sim samples from has a
declared shape, and the shape defaults are heavy-tailed rather than
Gaussian.
Real network latency, real GC pause, real disk write, real subprocess
startup, and real cross-region RTT are heavy-tailed. A Gaussian
model with mean and stddev calibrated against a live bundle's median
will undersample the p99 by orders of magnitude, and most production
bugs live in the p99.
The sim's distributions are parameterized as
`(median, p99, max)` or `(median, shape, scale)` for log-normal /
Pareto, with the default-fitted parameters drawn from the calibration
bundles. A scenario can override per-link; the fuzzer samples each
seed from the declared distribution.
The fuzzer also exercises a "tail-amplified" mode that increases the
probability of drawing from the upper tail. This is the cheap
substitute for "run the sim for sim-years and hope a rare event
fires" — we move the rare events to the head of the distribution and
visit them in seconds.
Acceptance: a calibration scenario configured against `vastai-N3-2`
produces latency distributions whose p50, p95, and p99 fall within
stated tolerances of the live bundle's. The tail-amplified mode of
the same scenario produces a p99-heavy bundle in proportionally less
sim time.
---
## 9. Mid-recovery faults
After this work, the fuzzer routinely injects faults during recovery
phases, not only during steady state.
The recovery phases the sim recognises:
- During partition heal — the moment the network model resumes
delivery on a previously-cut link.
- During SWIM's transition out of Suspect.
- During an iroh relay-session renegotiation after a close.
- During a subprocess respawn between exit and the new process's
first protocol output.
- During the orchestrator's transition from "waiting for SWIM
convergence" to "ready to accept inference."
A fault injected during recovery is a different bug class from a
fault injected during steady state. The fuzzer should not have to
discover the recovery windows itself; they are observable in the
event stream (or in declared scenario phases) and the fuzzer uses
them as sampling targets.
Acceptance: a scenario that partitions, heals, and then partitions
again exactly during the heal-induced SWIM gossip burst, reproduces
deterministically and exercises a code path that the steady-state
version of the same partition does not.
---
## 10. Failure library and postmortem-driven growth
After this work, the simulator's scenario library grows by one
family per postmortem. The growth is part of the postmortem-closure
checklist: a deploy failure is not considered "closed" until the
sim's library contains a scenario family that reproduces it and the
fix passes the family.
The library is a directory; each family is a subdirectory containing
the original-incident scenario, the mutation-axes declaration, and a
short prose comment naming the failure and pointing at the
postmortem. The directory layout is part of the contract.
A postmortem that closes without contributing a family is allowed
only when the implementer states, in the postmortem, why the failure
mode is structurally unrepresentable in the sim — and that is a
separate behavior contract:
- **Sim-blind-spot inventory.** Each such postmortem appends an
entry to a `SIM_BLIND_SPOTS.md` adjacent to the library. The entry
names the failure mode and the structural reason. Closing a
blind-spot entry is a separate work item, prioritized by how often
that mode has been hit since.
The library and the blind-spot list together are the answer to "have
we tested for this." There is no third place.
Acceptance: the library contains a family for each of the eight
prior live failures. `SIM_BLIND_SPOTS.md` contains an entry for each
mode not yet representable.
---
## 11. Adversarial scheduling
After this work, when the engine has a choice of which of several
ready events to dispatch first (two messages scheduled for the same
virtual nanosecond, two timers firing simultaneously), it does not
choose uniformly at random. Under the seed-driven exploration of
section 4, a fraction of seeds use an *adversarial* tie-break: prefer
the dispatch order that exercises an under-visited code path or
crosses a state-machine boundary.
The adversarial scheduler is not a model checker. It does not
enumerate orderings. It biases tie-breaks by a heuristic — for
example, prefer delivering the message whose target host has not
received any message in the longest virtual time, or prefer firing
the timer that fires least often across the seed batch.
Cheap to implement, cheap to run, and historically effective at
finding race conditions in actor systems. The fuzzer's "adversarial"
mode is the lever that lifts seed-driven exploration from random to
targeted.
Acceptance: a scenario that has a known race condition (e.g. SWIM
ack arrives the same nanosecond as the suspicion timer fires)
produces a fuzzer verdict that includes that race even when the race
is reachable from only a small fraction of tie-break orderings.
---
## 12. Sub-second reproduction
After this work, the developer's loop is:
1. Run the fuzzer against the current source. Failure prints the
seed.
2. Run the replay command with the printed seed. Bundle written
under one second.
3. Inspect the bundle. The broken invariant is named; the violating
event and host are identified.
4. Edit the source. Re-run step 1.
Steps 1–3 are sub-second per iteration. The total loop time is
dominated by the developer's reading and editing, not by the sim.
This is the property that makes (5)+(6)+(11) worth doing — each
mutation costs nothing.
When the loop time grows above one second per iteration for a
3-node scenario, that is a regression in the simulator and is
addressed before further hardening work.
Acceptance: a continuous-integration job runs the full sim library
against the current source on every PR in under three minutes of
wall time on the project's CI tier. The same job, run locally,
completes in under thirty seconds on the developer's machine.
---
## Implementation order
Grouped by independence. Within a group, work is parallel-safe;
across groups, later groups depend on earlier groups' contracts being
agreed but not finished.
**Group A — production-code coverage**
- 1 (production code paths in the sim) — the load-bearing piece.
Until this lands, every other section's adversariality is testing
a model rather than the deploy artifact.
**Group B — fuzz and feedback**
- 2 (fault catalog) — depends on A naming the hosts that can be
faulted.
- 3 (mid-run invariants) — independent of B's other pieces.
- 4 (seed-driven exploration) — depends on 2 and 3.
**Group C — adversarial sampling**
- 5 (heuristic extrapolation) — depends on 4.
- 6 (boundary-condition probing) — depends on 4.
- 7 (compound and asymmetric faults) — depends on 2 and 4.
- 8 (heavy-tailed distributions) — depends on 4 only.
- 9 (mid-recovery faults) — depends on 4.
**Group D — library and process**
- 10 (failure library and postmortem-driven growth) — process
contract, can be drafted in parallel with any of the above.
**Group E — scheduling and loop time**
- 11 (adversarial scheduling) — depends on 4 and is cheap; lands
late because the gain is marginal until the rest of B and C are
in place.
- 12 (sub-second reproduction) — continuous obligation; a
regression in this section blocks merges of the others.
The eight prior live failures would have been caught with A + B + C
alone. D + E are how the next eight are caught.
---
## What this spec does not promise
- It does not promise that the sim catches every bug. It promises
that the sim catches the bug classes prior deploys have produced
and the bug classes structurally adjacent to them.
- It does not promise the sim replaces a staging deploy. It promises
that a staging deploy that follows a clean sim run is not a
diagnostic exercise — it's a confirmation.
- It does not promise that fuzz runs are exhaustive. It promises
that fuzz runs are dense around the parts of the state space we
have evidence are dangerous.
- It does not promise sim-prod fidelity at the byte level for every
field. It promises bundle-shape parity and behavioral parity for
the actors named in section 1.
A simulator that satisfies this spec is the gate between the
developer and the next two-dollar GPU bill. It does not eliminate
that bill; it earns it.

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//! QAD validation harness — docean relay + this device only (no vast.ai).
//!
//! Brings up a single iroh node on this machine homed to the custom relay
//! (`SWACTOR_IROH_RELAY_URL`) via the exact `IrohDriver` path the cluster
//! uses, and reports what it discovers. The point is to prove the relay
//! fix: with QUIC Address Discovery (QAD) now served by the relay and the
//! client trusting its cert, this NAT'd node should learn its **public
//! reflexive address** from the relay — the mechanism that was dead when
//! the relay ran `quic: None`.
//!
//! PASS signal: `home relay` connects AND a non-private (public) address
//! appears in `direct_addresses()`. With `RUST_LOG=iroh=debug` the iroh
//! net_report QAD probe to the relay's :7842 is visible too.
//!
//! Run:
//! SWACTOR_IROH_RELAY_URL=http://146.190.110.128:7843/ \
//! RUST_LOG=iroh=debug \
//! cargo run --example qad_validate
use std::net::IpAddr;
use std::time::{Duration, Instant};
use distribution::iroh_driver::{IrohDriver, IrohDriverConfig};
use distribution::node::DistributedNodeConfig;
use distribution::registry::RegistryConfig;
use distribution::swim::probe::SwimConfig;
use pipeline_parallel_inference::iroh_transport::ACTOR_ALPN;
use pipeline_parallel_inference::relay_config::relay_mode_from_env;
/// A non-loopback, non-private, non-link-local address is one this host
/// could only know about via the relay (QAD) or a port-mapping — i.e. its
/// public-facing reflexive address.
fn is_public(ip: IpAddr) -> bool {
match ip {
IpAddr::V4(v4) => {
!v4.is_loopback() && !v4.is_private() && !v4.is_link_local() && !v4.is_unspecified()
}
IpAddr::V6(v6) => !v6.is_loopback() && !v6.is_unspecified(),
}
}
fn main() {
tracing_subscriber::fmt()
.with_env_filter(
tracing_subscriber::EnvFilter::try_from_default_env()
.unwrap_or_else(|_| tracing_subscriber::EnvFilter::new("warn")),
)
.with_writer(std::io::stderr)
.init();
let relay_mode = relay_mode_from_env();
eprintln!("qad_validate: relay_mode = {relay_mode:?}");
let node = DistributedNodeConfig {
swim: SwimConfig::default(),
cache_capacity: 100,
republish_interval: 50,
registry: RegistryConfig::default(),
metadata_lambda: 3,
};
let mut driver = IrohDriver::new(IrohDriverConfig {
secret_key: None,
relay_mode,
node,
peer_auth: None,
additional_alpns: vec![ACTOR_ALPN.to_vec()],
})
.expect("failed to create iroh driver");
let my_hex: String = driver.node_id().0.iter().map(|b| format!("{b:02x}")).collect();
eprintln!("qad_validate: node_id = {my_hex}");
// Poll for ~30s, letting iroh's net_report run its QAD probe against the
// relay and populate discovered addresses.
let deadline = Instant::now() + Duration::from_secs(30);
let mut last_print = Instant::now() - Duration::from_secs(10);
let mut saw_public = false;
let mut saw_relay = false;
while Instant::now() < deadline {
driver.recv();
driver.tick();
if last_print.elapsed() >= Duration::from_secs(3) {
let relay = driver.home_relay_url().map(|u| u.to_string());
let addrs = driver.direct_addresses();
let publics: Vec<String> = addrs
.iter()
.filter(|a| is_public(a.ip()))
.map(|a| a.to_string())
.collect();
saw_relay |= relay.is_some();
saw_public |= !publics.is_empty();
eprintln!(
" t+{:>2}s home_relay={} | direct_addrs={:?} | public/reflexive={:?}",
(30 - deadline.saturating_duration_since(Instant::now()).as_secs()),
relay.as_deref().unwrap_or("(none yet)"),
addrs.iter().map(|a| a.to_string()).collect::<Vec<_>>(),
publics,
);
last_print = Instant::now();
}
std::thread::sleep(Duration::from_millis(100));
}
eprintln!("\n=== QAD validation result ===");
eprintln!("home relay connected: {saw_relay}");
eprintln!("public/reflexive addr found: {saw_public}");
if saw_relay && saw_public {
eprintln!("RESULT: PASS — node reached the relay and learned a public address (QAD working).");
} else if saw_relay {
eprintln!(
"RESULT: PARTIAL — relay connected but no public address discovered \
(QAD may not have completed; check RUST_LOG=iroh=debug for the net_report probe)."
);
} else {
eprintln!("RESULT: FAIL — never connected to the relay.");
}
driver.shutdown();
}

View file

@ -22,7 +22,7 @@ use crate::Error;
///
/// Typically the raw bytes of an ed25519 public key, but this type
/// carries no cryptographic semantics.
#[derive(Clone, Copy, PartialEq, Eq, Hash)]
#[derive(Clone, Copy, PartialEq, Eq, Hash, PartialOrd, Ord)]
#[cfg_attr(feature = "serde", derive(serde::Serialize, serde::Deserialize))]
pub struct NodeId(pub [u8; 32]);