feat: wire stage roster and binary-swap verify

Orchestrator resolves per-stage SWIM roster + emits pp_stage_roster; pp_gpu_node
verifies fetched binary sha-256 digest (sha2 dep, strip release). Collector gains
/diag/runs + /diag/stream SSE; vastai/dockerfile redeploy hardening.


Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
This commit is contained in:
Zachery Aaron Shores-Chmielewski 2026-05-28 11:05:41 +04:00
parent 00fb3b2d91
commit 1af7e48201
23 changed files with 3504 additions and 2105 deletions

1
Cargo.lock generated
View file

@ -1344,6 +1344,7 @@ dependencies = [
"swactor-transport",
"tar",
"tokio",
"tokio-stream",
"uuid",
]

View file

@ -24,6 +24,7 @@ relay = [
collector = [
"dep:axum",
"dep:tokio",
"dep:tokio-stream",
"tokio/macros",
"tokio/net",
"tokio/sync",
@ -53,6 +54,7 @@ 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 }
tokio-stream = { version = "0.1", features = ["sync"], optional = true }
tar = { version = "0.4", optional = true }
flate2 = { version = "1", optional = true }

View file

@ -13,18 +13,25 @@
//! pending hints from [`CollectorState::take_pending_hints`], and (for
//! finalize) drive the T1.7 snapshot-then-tar sequence.
use std::convert::Infallible;
use std::sync::Arc;
use std::time::Duration;
use axum::body::Body;
use axum::extract::{Path, State};
use axum::http::{HeaderMap, StatusCode, header};
use axum::response::sse::{Event, KeepAlive, Sse};
use axum::response::{IntoResponse, Response};
use axum::routing::{get, post};
use axum::{Json, Router};
use serde::Serialize;
use serde_json::Value;
use tokio_stream::StreamExt;
use tokio_stream::wrappers::BroadcastStream;
use tokio_stream::wrappers::errors::BroadcastStreamRecvError;
use super::protocol::{ClockEcho, Hints, PostAck, RecordKind};
use super::state::{CollectorState, MAX_BODY_BYTES};
use super::state::{CollectorState, MAX_BODY_BYTES, NodeStats, RunStats};
use super::{bundle, wall_ms_now};
/// Build the axum router. Wire this into `axum::serve` from the
@ -33,9 +40,101 @@ pub fn router(state: Arc<CollectorState>) -> Router {
Router::new()
.route("/diag/{kind}", post(ingest))
.route("/diag/bundle/{run_id}", get(download_bundle))
.route("/diag/runs", get(list_runs))
.route("/diag/stream/{run_id}", get(stream_run))
.with_state(state)
}
/// SSE event for an in-memory record. The `event` field carries the
/// `RecordKind` so clients can `addEventListener("snapshot", …)`.
fn format_sse(event: &str, data: &str) -> Event {
Event::default().event(event).data(data)
}
/// Per-node accounting shape returned from `/diag/runs`. Mirrors
/// `NodeStats` minus the cached `identity` blob (potentially large;
/// belongs in the bundle, not a directory listing).
#[derive(Serialize)]
struct NodeSummary {
node_id: String,
boot_recorded: bool,
event_batches: u64,
snapshots: u64,
finalize_recorded: bool,
}
/// Per-run accounting shape returned from `/diag/runs`.
#[derive(Serialize)]
struct RunSummary {
run_id: String,
run_start_collector_ms: Option<u64>,
run_end_collector_ms: Option<u64>,
finalize_received: bool,
nodes: Vec<NodeSummary>,
}
impl RunSummary {
fn from_stats(run_id: String, stats: RunStats) -> Self {
let mut nodes: Vec<NodeSummary> = stats
.nodes
.into_iter()
.map(|(node_id, n): (String, NodeStats)| NodeSummary {
node_id,
boot_recorded: n.boot_recorded,
event_batches: n.event_batches,
snapshots: n.snapshots,
finalize_recorded: n.finalize_recorded,
})
.collect();
nodes.sort_by(|a, b| a.node_id.cmp(&b.node_id));
RunSummary {
run_id,
run_start_collector_ms: stats.run_start_collector_ms,
run_end_collector_ms: stats.run_end_collector_ms,
finalize_received: stats.finalize_received,
nodes,
}
}
}
async fn list_runs(State(state): State<Arc<CollectorState>>) -> Json<Vec<RunSummary>> {
let summaries = state
.run_summaries()
.into_iter()
.map(|(run_id, stats)| RunSummary::from_stats(run_id, stats))
.collect();
Json(summaries)
}
/// Subscribe to live persisted records for a single run as
/// Server-Sent Events. Each event's name is the record `kind`
/// (`boot`, `events`, `snapshot`, `finalize`); the data payload is
/// the JSON-serialized `LiveRecord`.
///
/// Unknown `run_id`s are accepted — the connection stays open and
/// the client will see records once they arrive. Slow subscribers
/// that fall behind the broadcast capacity silently skip the gap
/// (`/diag/bundle/{run_id}` is the catch-up path).
async fn stream_run(
Path(run_id): Path<String>,
State(state): State<Arc<CollectorState>>,
) -> Sse<impl tokio_stream::Stream<Item = Result<Event, Infallible>>> {
let rx = state.subscribe();
let stream = BroadcastStream::new(rx).filter_map(move |item| match item {
Ok(rec) if rec.run_id == run_id => {
let json = serde_json::to_string(&*rec).ok()?;
Some(Ok(format_sse(rec.kind.as_str(), &json)))
}
Ok(_) => None,
Err(BroadcastStreamRecvError::Lagged(_)) => None,
});
Sse::new(stream).keep_alive(
KeepAlive::new()
.interval(Duration::from_secs(15))
.text("ping"),
)
}
async fn ingest(
State(state): State<Arc<CollectorState>>,
Path(kind): Path<String>,

View file

@ -96,6 +96,23 @@ impl RecordKind {
}
}
/// A persisted record, fanned out to live SSE subscribers via
/// `GET /diag/stream/{run_id}`.
///
/// Ordering guarantee: per-(run_id, node_id, kind) monotonic by
/// `seq`. Across kinds or nodes, ordering is best-effort — the
/// broadcast preserves send order, but `Lagged` receivers see gaps
/// and must reconcile via `GET /diag/bundle/{run_id}`.
#[derive(Debug, Clone, Serialize)]
pub struct LiveRecord {
pub run_id: String,
pub node_id: String,
pub kind: RecordKind,
pub recv_ms: u64,
pub seq: u64,
pub body: serde_json::Value,
}
/// Per-node summary written into `MANIFEST.json` at the root of a
/// finalized bundle.
#[derive(Debug, Clone, Serialize, Deserialize)]

View file

@ -7,12 +7,19 @@
use std::collections::HashMap;
use std::io;
use std::path::{Path, PathBuf};
use std::sync::Mutex;
use std::sync::{Arc, Mutex};
use std::time::Duration;
use serde_json::Value;
use tokio::sync::broadcast;
use super::protocol::{Hints, RecordKind};
use super::protocol::{Hints, LiveRecord, RecordKind};
/// Default fan-out capacity for the live SSE broadcast — overridable
/// via `SWACTOR_DIAG_STREAM_CAPACITY`. 1024 is ~70s of buffer at the
/// ~14 rec/s typical of an 11-stage cluster; slow subscribers see
/// `Lagged` rather than backpressuring the ingest path.
pub const DEFAULT_STREAM_CAPACITY: usize = 1024;
/// How long `/diag/finalize` waits between marking nodes for
/// snapshot_now and assembling the tarball, by default.
@ -51,6 +58,11 @@ pub struct CollectorState {
/// handler rebuilds from current staging. This is the
/// "node-count heuristic" the spec names.
canonical_node_counts: Mutex<HashMap<String, usize>>,
/// Fan-out of every persisted record to live SSE subscribers.
/// Lossy: when a subscriber falls behind the channel's capacity
/// it observes `Lagged` and resumes from the next send. The
/// catch-up path is `GET /diag/bundle/{run_id}`.
live_tx: broadcast::Sender<Arc<LiveRecord>>,
}
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
@ -88,6 +100,12 @@ pub struct NodeStats {
impl CollectorState {
pub fn new(root: impl Into<PathBuf>) -> Self {
let cap = std::env::var("SWACTOR_DIAG_STREAM_CAPACITY")
.ok()
.and_then(|s| s.parse::<usize>().ok())
.filter(|n| *n > 0)
.unwrap_or(DEFAULT_STREAM_CAPACITY);
let (live_tx, _) = broadcast::channel(cap);
Self {
root: root.into(),
finalize_wait: DEFAULT_FINALIZE_WAIT,
@ -95,6 +113,7 @@ impl CollectorState {
runs: Mutex::new(HashMap::new()),
pending_hints: Mutex::new(HashMap::new()),
canonical_node_counts: Mutex::new(HashMap::new()),
live_tx,
}
}
@ -130,6 +149,17 @@ impl CollectorState {
self
}
/// Override the live-broadcast capacity. Production reads
/// `SWACTOR_DIAG_STREAM_CAPACITY` in [`Self::new`]; tests use
/// this builder to exercise the lossy-lagged path without
/// racing other tests on a shared env var.
pub fn with_stream_capacity(mut self, cap: usize) -> Self {
let cap = cap.max(1);
let (tx, _) = broadcast::channel(cap);
self.live_tx = tx;
self
}
pub fn finalize_wait(&self) -> Duration {
self.finalize_wait
}
@ -174,9 +204,37 @@ impl CollectorState {
.map_err(|e| io::Error::new(io::ErrorKind::InvalidData, e))?;
std::fs::write(&path, bytes)?;
self.update_stats(run_id, node_id, kind, recv_ms, body);
// Fan out to live SSE subscribers. SendError (zero receivers)
// is steady state; ignore.
let _ = self.live_tx.send(Arc::new(LiveRecord {
run_id: run_id.to_string(),
node_id: node_id.to_string(),
kind,
recv_ms,
seq,
body: body.clone(),
}));
Ok(path)
}
/// Subscribe to the live fan-out of persisted records. Each
/// receiver gets every record sent after subscription; if the
/// receiver falls behind the channel capacity it observes
/// `RecvError::Lagged(n)` and continues from the next send.
pub fn subscribe(&self) -> broadcast::Receiver<Arc<LiveRecord>> {
self.live_tx.subscribe()
}
/// Snapshot of all known runs and their accounting, sorted by
/// `run_id`. Used by `GET /diag/runs`.
pub fn run_summaries(&self) -> Vec<(String, RunStats)> {
let runs = self.runs.lock().expect("collector runs mutex poisoned");
let mut out: Vec<(String, RunStats)> =
runs.iter().map(|(k, v)| (k.clone(), v.clone())).collect();
out.sort_by(|a, b| a.0.cmp(&b.0));
out
}
fn next_seq(&self, run_id: &str, node_id: &str, kind: RecordKind) -> u64 {
let mut seqs = self.seqs.lock().expect("collector seq mutex poisoned");
let key = SeqKey {

View file

@ -24,6 +24,7 @@
#![cfg(feature = "collector")]
use std::collections::HashMap;
use std::io::Read;
use std::net::SocketAddr;
use std::path::PathBuf;
@ -39,33 +40,50 @@ use tokio::net::TcpStream;
struct Fixture {
addr: SocketAddr,
root: PathBuf,
state: Arc<CollectorState>,
_tmpdir: TempDir,
_server: tokio::task::JoinHandle<()>,
}
impl Fixture {
async fn start() -> Self {
Self::start_with(|s| s).await
}
/// Like `start`, but allows the caller to layer additional
/// builder calls onto the [`CollectorState`] before it's wrapped
/// in an `Arc` and handed to the server. Used by the stream
/// tests that need a smaller broadcast capacity to exercise the
/// lagged path.
async fn start_with(configure: impl FnOnce(CollectorState) -> CollectorState) -> Self {
let tmpdir = TempDir::new();
let root = tmpdir.path().to_path_buf();
// Tests don't have aggregator clients chasing hints, so the
// finalize wait would just stall every assertion. Collapse it.
let state = Arc::new(
let state = configure(
CollectorState::new(&root).with_finalize_wait(Duration::from_millis(0)),
);
let state = Arc::new(state);
let listener = bind("127.0.0.1:0".parse().unwrap()).await.expect("bind");
let addr = listener.local_addr().expect("local_addr");
let serve_state = Arc::clone(&state);
let handle = tokio::spawn(async move {
let _ = serve(listener, state).await;
let _ = serve(listener, serve_state).await;
});
// Tiny pause so the spawned task gets to accept().
tokio::time::sleep(Duration::from_millis(50)).await;
Fixture {
addr,
root,
state,
_tmpdir: tmpdir,
_server: handle,
}
}
fn state(&self) -> &Arc<CollectorState> {
&self.state
}
}
fn now_ms() -> u64 {
@ -345,6 +363,335 @@ async fn header_values_are_sanitized_against_path_traversal() {
);
}
// ── Live stream / runs endpoint tests ────────────────────────────────────
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn live_subscriber_sees_persisted_records_in_post_order() {
// A live subscriber receives every persisted record, in the order
// it was POSTed, with per-(run, node, kind) monotonic seq.
let fx = Fixture::start().await;
let mut rx = fx.state().subscribe();
let run_id = "run-live-1";
let node_id = "n".repeat(64);
for i in 0..3 {
let resp = post_json(
&fx,
"/diag/events",
run_id,
&node_id,
now_ms(),
&json!([{"i": i}]),
)
.await;
assert_eq!(resp.status, 200);
}
let mut got_seqs = Vec::new();
for _ in 0..3 {
let rec = tokio::time::timeout(Duration::from_secs(1), rx.recv())
.await
.expect("recv within 1s")
.expect("recv ok");
assert_eq!(rec.run_id, run_id);
assert_eq!(rec.node_id, node_id);
// We POSTed only events — so every fan-out record is events.
// If a future change accidentally mis-tags records, this will
// catch it without echoing the persist() shape.
assert_eq!(
serde_json::to_string(&rec.kind).unwrap(),
"\"events\"",
"every record from /diag/events must be tagged kind=events"
);
got_seqs.push(rec.seq);
}
assert_eq!(got_seqs, vec![1, 2, 3], "events seq must be monotonic from 1");
}
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn live_subscriber_records_carry_origin_run_and_node_ids() {
// Two concurrent runs share one subscriber. Each fanned-out
// record carries the run_id and node_id it was POSTed under, so
// downstream filters (the SSE handler's run_id filter, or a
// future per-node consumer) can split the stream correctly.
let fx = Fixture::start().await;
let mut rx = fx.state().subscribe();
let run_a = "run-a";
let run_b = "run-b";
let node_a = "a".repeat(64);
let node_b = "b".repeat(64);
let resp = post_json(
&fx,
"/diag/boot",
run_a,
&node_a,
now_ms(),
&json!({"role": "stage"}),
)
.await;
assert_eq!(resp.status, 200);
let resp = post_json(
&fx,
"/diag/boot",
run_b,
&node_b,
now_ms(),
&json!({"role": "orchestrator"}),
)
.await;
assert_eq!(resp.status, 200);
let mut seen: HashMap<String, String> = HashMap::new();
for _ in 0..2 {
let rec = tokio::time::timeout(Duration::from_secs(1), rx.recv())
.await
.expect("recv within 1s")
.expect("recv ok");
seen.insert(rec.run_id.clone(), rec.node_id.clone());
}
assert_eq!(seen.get(run_a), Some(&node_a));
assert_eq!(seen.get(run_b), Some(&node_b));
}
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn live_subscriber_observes_lag_and_keeps_receiving() {
// Lossy-but-live contract: when the broadcast buffer overflows,
// the subscriber sees a Lagged error and the next live record
// still reaches it. The collector ingest path must not be
// backpressured by a slow subscriber.
use tokio::sync::broadcast::error::RecvError;
let fx = Fixture::start_with(|s| s.with_stream_capacity(4)).await;
let mut rx = fx.state().subscribe();
let run_id = "run-lag";
let node_id = "n".repeat(64);
// Fire 10 sends without draining — capacity is 4, so the receiver
// is at least 6 behind and is guaranteed to observe Lagged.
for i in 0..10 {
let resp = post_json(
&fx,
"/diag/events",
run_id,
&node_id,
now_ms(),
&json!([{"i": i}]),
)
.await;
assert_eq!(resp.status, 200);
}
let mut saw_lag = false;
let mut drained = 0;
loop {
match tokio::time::timeout(Duration::from_millis(200), rx.recv()).await {
Ok(Ok(_)) => drained += 1,
Ok(Err(RecvError::Lagged(n))) => {
saw_lag = true;
assert!(n > 0, "Lagged must report a non-zero gap");
}
Ok(Err(other)) => panic!("unexpected recv error during drain: {other:?}"),
Err(_) => break, // drained
}
}
assert!(saw_lag, "lagged subscriber must observe Lagged at least once");
assert!(drained >= 1, "lagged subscriber must still get buffered records");
// After the gap, a fresh send still lands at this same receiver.
let resp = post_json(
&fx,
"/diag/events",
run_id,
&node_id,
now_ms(),
&json!([{"fresh": true}]),
)
.await;
assert_eq!(resp.status, 200);
let rec = tokio::time::timeout(Duration::from_secs(1), rx.recv())
.await
.expect("recv within 1s after lag")
.expect("recv ok after lag");
assert_eq!(rec.run_id, run_id);
assert_eq!(rec.body, json!([{"fresh": true}]));
}
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn runs_endpoint_lists_active_runs() {
// /diag/runs answers "what's there to stream?" — every run that
// has had at least one POST appears with its per-node accounting.
let fx = Fixture::start().await;
let run_a = "run-list-a";
let run_b = "run-list-b";
let node = "n".repeat(64);
let resp = post_json(
&fx,
"/diag/boot",
run_a,
&node,
now_ms(),
&json!({"role": "stage"}),
)
.await;
assert_eq!(resp.status, 200);
let resp = post_json(
&fx,
"/diag/boot",
run_b,
&node,
now_ms(),
&json!({"role": "orchestrator"}),
)
.await;
assert_eq!(resp.status, 200);
let resp = get(&fx, "/diag/runs").await;
assert_eq!(resp.status, 200, "body: {}", body_str(&resp));
let runs: Value = serde_json::from_slice(&resp.body).expect("runs json");
let arr = runs.as_array().expect("runs is array");
let ids: Vec<&str> = arr
.iter()
.filter_map(|v| v.get("run_id").and_then(|r| r.as_str()))
.collect();
assert!(ids.contains(&run_a), "ids={ids:?}");
assert!(ids.contains(&run_b), "ids={ids:?}");
// Boot landed but finalize did not; surface honestly.
for run_id in [run_a, run_b] {
let entry = arr
.iter()
.find(|v| v.get("run_id").and_then(|r| r.as_str()) == Some(run_id))
.expect("entry present");
assert_eq!(entry.get("finalize_received"), Some(&Value::Bool(false)));
}
}
#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
async fn sse_stream_delivers_a_record_over_http() {
// End-to-end SSE: subscribe via HTTP, POST a boot, parse the
// first SSE frame off the wire. Covers the HTTP/SSE framing
// path that the broadcast-level tests above intentionally skip.
let fx = Fixture::start().await;
let run_id = "run-sse-1";
let node_id = "c".repeat(64);
let mut stream = open_sse_stream(fx.addr, &format!("/diag/stream/{run_id}")).await;
// Now that the subscribe has happened (handler runs before the
// response head is flushed), drive one record into the channel.
let resp = post_json(
&fx,
"/diag/boot",
run_id,
&node_id,
now_ms(),
&json!({"role": "stage", "stage_index": 0}),
)
.await;
assert_eq!(resp.status, 200);
let chunk = tokio::time::timeout(Duration::from_secs(2), read_chunk(&mut stream))
.await
.expect("first chunk within 2s")
.expect("non-empty chunk");
let frame = std::str::from_utf8(&chunk).expect("chunk utf8");
let (event_name, data_json) = parse_sse_frame(frame).expect("well-formed SSE frame");
assert_eq!(event_name, "boot");
let body: Value = serde_json::from_str(&data_json).expect("data is json");
assert_eq!(body.get("run_id").and_then(|v| v.as_str()), Some(run_id));
assert_eq!(body.get("node_id").and_then(|v| v.as_str()), Some(node_id.as_str()));
assert_eq!(body.get("kind").and_then(|v| v.as_str()), Some("boot"));
}
// ── SSE / chunked-transfer test helpers ─────────────────────────────────
/// Open a TCP stream, send a GET, consume HTTP headers. Returns the
/// stream positioned at the first body byte (first chunk header).
/// Verifies the response advertised chunked transfer-encoding so
/// `read_chunk` can rely on the framing.
async fn open_sse_stream(addr: SocketAddr, path: &str) -> TcpStream {
let mut stream = TcpStream::connect(addr).await.expect("connect");
let req = format!(
"GET {path} HTTP/1.1\r\nhost: 127.0.0.1\r\naccept: text/event-stream\r\n\r\n"
);
stream.write_all(req.as_bytes()).await.expect("write");
stream.flush().await.ok();
// Read until end-of-headers.
let mut buf = Vec::with_capacity(1024);
let mut tmp = [0u8; 512];
loop {
let n = stream.read(&mut tmp).await.expect("read headers");
if n == 0 {
panic!("EOF before SSE headers");
}
buf.extend_from_slice(&tmp[..n]);
if let Some(idx) = find_double_crlf(&buf) {
assert_eq!(
&buf[idx + 4..],
b"",
"test reads must not span past the headers terminator"
);
break;
}
}
let head = std::str::from_utf8(&buf).expect("header utf8");
assert!(
head.to_ascii_lowercase().contains("transfer-encoding: chunked"),
"expected chunked SSE response, got:\n{head}"
);
stream
}
/// Read one HTTP/1.1 transfer-encoding chunk's payload. Returns
/// `None` on the terminator chunk (size 0).
async fn read_chunk(stream: &mut TcpStream) -> Option<Vec<u8>> {
let mut size_line = Vec::with_capacity(8);
loop {
let mut b = [0u8; 1];
stream.read_exact(&mut b).await.expect("read chunk size byte");
size_line.push(b[0]);
if size_line.ends_with(b"\r\n") {
break;
}
}
let s = std::str::from_utf8(&size_line[..size_line.len() - 2]).expect("size utf8");
let s = s.split(';').next().unwrap().trim();
let size = usize::from_str_radix(s, 16).expect("hex chunk size");
if size == 0 {
return None;
}
let mut data = vec![0u8; size];
stream.read_exact(&mut data).await.expect("read chunk data");
let mut trailer = [0u8; 2];
stream.read_exact(&mut trailer).await.expect("read chunk trailer");
assert_eq!(&trailer, b"\r\n", "chunk trailer must be CRLF");
Some(data)
}
/// Parse one SSE frame of the form `event: NAME\ndata: PAYLOAD\n\n`
/// (or with a trailing single `\n`). Returns `(event_name, data)`.
fn parse_sse_frame(frame: &str) -> Option<(String, String)> {
let trimmed = frame.trim_end_matches('\n');
let mut event = None;
let mut data: Option<String> = None;
for line in trimmed.split('\n') {
if let Some(rest) = line.strip_prefix("event: ") {
event = Some(rest.to_string());
} else if let Some(rest) = line.strip_prefix("data: ") {
// SSE allows multiple `data:` lines, joined by '\n'.
data = Some(match data {
Some(prev) => format!("{prev}\n{rest}"),
None => rest.to_string(),
});
}
}
Some((event?, data?))
}
// ---------- HTTP helpers ----------
struct HttpResponse {

View file

@ -810,6 +810,7 @@ dependencies = [
"swactor-transport",
"tar",
"tokio",
"tokio-stream",
"uuid",
]
@ -2619,6 +2620,7 @@ dependencies = [
"reqwest 0.12.28",
"serde",
"serde_json",
"sha2 0.10.9",
"swactor",
"swactor-process",
"tokio",

View file

@ -18,6 +18,12 @@ iroh = "0.98"
urlencoding = "2"
base64 = "0.22"
libc = "0.2"
# PROTOTYPE_BINARY_SWAP (spec §5.1): pp-gpu-node verifies an
# operator-supplied SHA-256 digest of the fetched replacement binary.
# Already a transitive dep of the iroh stack; pinned here as a direct
# dep so a future §5.1 removal can drop this line cleanly along with
# the swap module.
sha2 = "0.10"
[[bin]]
name = "pp-gpu-node"
@ -30,3 +36,9 @@ path = "src/bin/pp_smoke_run.rs"
[dev-dependencies]
wiremock = "0.6"
tracing-subscriber = { version = "0.3", features = ["env-filter"] }
# These binaries are shipped to rented GPU nodes — over the docker image on a
# cold lease, and over scp through vast.ai's throttled SSH proxy on a redeploy.
# Stripping debug symbols (~26MB -> ~18MB) trims both paths at no runtime cost.
[profile.release]
strip = true

View file

@ -1,35 +1,111 @@
FROM nvidia/cuda:12.6.3-runtime-ubuntu24.04
# Pipeline-parallel runtime image.
#
# Spec §4.10 (permanent contracts):
# * MUST be produced by a multi-stage build, with build artifacts
# (compilers, headers, dev libraries) confined to the builder stage.
# * MUST be ≤ 1 GB compressed (§4.10 / acceptance §6.11).
# * Apt caches, pip caches, __pycache__, test data, and docs MUST NOT
# be present in the runtime layer.
# * MUST be self-sufficient — booting MUST NOT fetch any binary from
# an external host (the §5.1 binary-swap path is opt-in only).
# * SHOULD use a slim CUDA runtime image, not a -devel image.
#
# Build context must be the workspace root:
# docker build -f examples/pipeline-parallel-inference/Dockerfile -t <tag> .
# ─── Builder stage ───────────────────────────────────────────────────
# Confines the dev-only CUDA headers (cuda-cudart-dev) and the pip
# install machinery here so the runtime layer keeps neither. The pip
# install also produces __pycache__ + bundled tests; we strip both
# inside this stage so they cannot ride along on any COPY out.
FROM nvidia/cuda:12.6.3-runtime-ubuntu24.04 AS builder
# 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 \
cuda-cudart-dev-12-6 && \
rm -rf /var/lib/apt/lists/*
# Install tinygrad and numpy
# Stage tinygrad + numpy into a self-contained directory we COPY into
# the runtime stage. --target keeps them off the system path so the
# runtime can drop them under PYTHONPATH without dragging /usr/lib.
RUN python3 -m pip install --no-cache-dir --break-system-packages \
tinygrad==0.12.0 \
numpy
--target=/opt/pp-pydeps \
tinygrad==0.12.0 numpy && \
find /opt/pp-pydeps -depth -type d \
\( -name '__pycache__' -o -name 'tests' -o -name 'test' \) \
-exec rm -rf {} + && \
find /opt/pp-pydeps -name '*.pyc' -delete && \
find /opt/pp-pydeps -type d -name '*.dist-info' -exec rm -rf {} +
# Copy the pipeline-parallel binaries and tinygrad worker
# Build context should be the workspace root:
# docker build -f examples/pipeline-parallel-inference/Dockerfile -t <tag> .
# Stage the NVRTC headers tinygrad's generated fp16 / bf16 kernels
# `#include`. They are pure source files (kilobytes); the runtime stage
# picks them up without the full cuda-cudart-dev package.
RUN mkdir -p /opt/pp-nvrtc-include && \
cp /usr/local/cuda/include/cuda_fp16.h \
/usr/local/cuda/include/cuda_fp16.hpp \
/opt/pp-nvrtc-include/ && \
if [ -f /usr/local/cuda/include/cuda_bf16.h ]; then \
cp /usr/local/cuda/include/cuda_bf16.h \
/usr/local/cuda/include/cuda_bf16.hpp \
/opt/pp-nvrtc-include/; \
fi
# ─── Runtime stage ───────────────────────────────────────────────────
# Slim CUDA -base image (no math libs) plus exactly the libraries
# tinygrad needs at JIT time: libcudart (CUDA runtime) and libnvrtc
# (kernel compiler). The cuda_fp16.h header comes from the builder; no
# -dev / -devel package lands here.
FROM nvidia/cuda:12.6.3-base-ubuntu24.04 AS runtime
# Full python3 (not -minimal) for stdlib coverage tinygrad+numpy need
# (numpy 2.x imports `contextvars` from stdlib; python3-minimal omits
# it). `apt-get clean` + `rm -rf` keep apt's archive cache out of the
# layer (spec §4.10 forbids it). The find calls scrub __pycache__ and
# .pyc generated by post-install scripts of the packages we DO need.
RUN apt-get update && \
apt-get install -y --no-install-recommends \
python3 \
cuda-cudart-12-6 \
cuda-nvrtc-12-6 \
ca-certificates \
procps && \
apt-get clean && \
rm -rf /var/lib/apt/lists/* \
/var/cache/apt/archives/* \
/var/cache/apt/*.bin \
/var/log/apt/* \
/var/log/dpkg.log \
/tmp/* \
/var/tmp/* \
/usr/share/doc/* \
/usr/share/man/* \
/usr/share/info/* && \
find /usr -depth -type d -name '__pycache__' -exec rm -rf {} + 2>/dev/null || true && \
find /usr -type f -name '*.pyc' -delete 2>/dev/null || true
# Headers tinygrad's NVRTC backend resolves via its default -I path.
COPY --from=builder /opt/pp-nvrtc-include/ /usr/local/cuda/include/
# Pip-installed Python deps from the builder, already stripped of
# __pycache__ + bundled tests (spec §4.10: caches / test data MUST NOT
# be present in the runtime layer).
COPY --from=builder /opt/pp-pydeps /opt/pp-pydeps
ENV PYTHONPATH=/opt/pp-pydeps
# Avoid regenerating bytecode at runtime — keeps the runtime FS clean
# of fresh __pycache__ writes after first import.
ENV PYTHONDONTWRITEBYTECODE=1
# Pipeline binaries + worker script. The binaries are statically linked
# enough that the runtime stage's libc is all they need; the worker is
# pure Python.
COPY examples/pipeline-parallel-inference/target/release/pp-gpu-node /usr/local/bin/pp-gpu-node
COPY examples/pipeline-parallel-inference/target/release/pp-smoke-run /usr/local/bin/pp-smoke-run
COPY examples/pipeline-parallel-inference/pp_tinygrad_worker.py /usr/local/share/pp_tinygrad_worker.py
# Enable CUDA backend for tinygrad (override with -e DEV=CPU for CPU runs)
# Enable CUDA backend for tinygrad (override with -e CUDA=0 for CPU runs).
ENV CUDA=1
ENV WORKER_SCRIPT=/usr/local/share/pp_tinygrad_worker.py

View file

@ -1,520 +0,0 @@
# 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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@ -1,324 +0,0 @@
# 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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@ -1,579 +0,0 @@
# 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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@ -1,366 +0,0 @@
# 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.

View file

@ -70,14 +70,20 @@ from __future__ import annotations
import argparse
import base64
import functools
import hashlib
import io
import json
import os
import re
import signal
import struct
import sys
import threading
import time
import urllib.parse
import urllib.request
from pathlib import Path
from typing import Sequence
# Stub-mode constants — small so test payloads stay tiny. Both values
@ -113,6 +119,620 @@ def compute_layer_range(stage: int, num_stages: int, total_blocks: int) -> tuple
return start, end
# ggml type tables for the sharded loader: quantized types map to
# (elements_per_block, bytes_per_block); native types map to byte width. These
# mirror tinygrad 0.12.0's ggml_data_to_tensor and let us size each tensor's raw
# byte slice so only the kept weights are copied off disk.
_GGML_QUANT_BLOCK = {2: (32, 18), 3: (32, 20), 8: (32, 34), 12: (256, 144), 14: (256, 210), 39: (32, 17)}
_GGML_NATIVE_ITEMSIZE = {0: 4, 1: 2, 16: 1, 17: 2, 18: 4}
def _ggml_tensor_nbytes(n_elements: int, ggml_type: int) -> int:
"""Raw byte size of an ``n_elements`` ggml tensor of ``ggml_type``."""
if ggml_type in _GGML_NATIVE_ITEMSIZE:
return _GGML_NATIVE_ITEMSIZE[ggml_type] * n_elements
if ggml_type in _GGML_QUANT_BLOCK:
elems_per_block, bytes_per_block = _GGML_QUANT_BLOCK[ggml_type]
return (n_elements // elems_per_block) * bytes_per_block
raise ValueError(f"unsupported ggml type {ggml_type}")
# ─── Sharded download (spec §4.1 / §4.2 / §4.7) ───────────────────────────
#
# The worker fetches only the byte ranges its stage actually needs
# (§4.1), caches the partial GGUF idempotently (§4.2), and emits
# `pp_download_progress` events with bounded latency while downloading
# (§4.7). The cached file is a SPARSE file with the same apparent size
# as the source — kept tensors live at their original byte offsets, so
# `_load_sharded_transformer` opens it unchanged. Filesystem holes
# absorb the non-kept regions so the actual disk usage is
# O(per-stage shard size), not O(full model size).
_PP_DOWNLOAD_READ_CHUNK = 256 * 1024
_PP_HEADER_INITIAL = 1024 * 1024
_PP_HEADER_MAX = 64 * 1024 * 1024
def _pp_round_up(n: int, align: int) -> int:
if align <= 0:
return n
return ((n + align - 1) // align) * align
class _PpHeaderTooShort(Exception):
"""Raised mid-parse when the header buffer ran out — caller grows it."""
def _pp_parse_gguf_header(buf: bytes) -> "tuple[list[tuple[str, tuple, int, int]], int, dict]":
"""Parse a GGUF header from `buf`. Returns (t_infos, data_start, kv).
`t_infos` is a list of ``(name, dims, ggml_type, offset)`` tuples
matching what ``_load_sharded_transformer``'s in-file parser
produces. `data_start` is the absolute byte offset where tensor
data begins. Raises `_PpHeaderTooShort` if the header is larger
than `buf` — caller should re-fetch with a larger buffer.
Format reference: tinygrad 0.12.0's gguf reader. GGUF versions 2
and 3 share the parse shape; the file's u32 version is checked.
"""
bio = io.BytesIO(buf)
def _need(n: int) -> bytes:
start = bio.tell()
out = bio.read(n)
if len(out) != n:
raise _PpHeaderTooShort(f"need {n} bytes at {start}, got {len(out)}")
return out
def _unpack(fmt: str, nbytes: int):
return struct.unpack(fmt, _need(nbytes))[0]
def _read_u32() -> int:
return _unpack("<I", 4)
def _read_i32() -> int:
return _unpack("<i", 4)
def _read_u64() -> int:
return _unpack("<Q", 8)
def _read_str() -> str:
length = _read_u64()
return _need(length).decode("utf-8")
def _read_arr():
elem_type = _read_i32()
count = _read_u64()
return [_readers[elem_type]() for _ in range(count)]
_readers = {
0: lambda: _unpack("<b", 1),
1: lambda: _unpack("<B", 1),
2: lambda: _unpack("<h", 2),
3: lambda: _unpack("<H", 2),
4: _read_u32,
5: _read_i32,
6: lambda: _unpack("<f", 4),
7: lambda: _unpack("<?", 1),
8: _read_str,
9: _read_arr,
10: _read_u64,
11: lambda: _unpack("<q", 8),
12: lambda: _unpack("<d", 8),
}
magic = _need(4)
if magic != b"GGUF":
raise ValueError(f"not a GGUF artifact (magic={magic!r})")
version = _read_i32()
if version not in (2, 3):
raise ValueError(f"unsupported GGUF version {version}")
n_tensors = _read_u64()
n_kv = _read_u64()
kv: "dict[str, object]" = {}
for _ in range(n_kv):
key = _read_str()
typ = _read_i32()
kv[key] = _readers[typ]()
t_infos: "list[tuple[str, tuple, int, int]]" = []
for _ in range(n_tensors):
name = _read_str()
n_dims = _read_u32()
dims = tuple(_read_u64() for _ in range(n_dims))
ggml_type = _read_i32()
offset = _read_u64()
t_infos.append((name, dims, ggml_type, offset))
alignment = int(kv.get("general.alignment", 32))
data_start = _pp_round_up(bio.tell(), alignment)
return t_infos, data_start, kv
def _pp_kept_names(t_infos, stage: int, num_stages: int, kv: dict) -> "set[str]":
"""Return the set of tensor names this stage requires. Matches the
`_kept` predicate inside `_load_sharded_transformer` — both code
paths must agree on the kept set or the loader would try to realize
a tensor whose bytes were not fetched."""
arch = str(kv["general.architecture"])
total_blocks = int(kv[f"{arch}.block_count"])
start, end = compute_layer_range(stage, num_stages, total_blocks)
is_last = stage == num_stages - 1
names = {info[0] for info in t_infos}
tied_output = "output.weight" not in names
kept: "set[str]" = set()
for info in t_infos:
name = info[0]
keep = False
for i in range(start, end):
if name.startswith(f"blk.{i}."):
keep = True
break
if not keep:
if name == "token_embd.weight" and (stage == 0 or (is_last and tied_output)):
keep = True
elif name == "output_norm.weight" and is_last:
keep = True
elif name == "output.weight" and is_last and not tied_output:
keep = True
if keep:
kept.add(name)
return kept
def _pp_kept_byte_ranges(t_infos, data_start: int, kept_names: "set[str]") -> "list[tuple[int, int]]":
"""Return the ``[(absolute_offset, nbytes)]`` byte ranges this stage
keeps, ordered by offset (so a streamed download writes ascending
offsets and the filesystem allocates fewer fragmented holes)."""
out: list[tuple[int, int]] = []
for name, dims, ggml_type, offset in t_infos:
if name not in kept_names:
continue
n_elements = 1
for d in dims:
n_elements *= int(d)
nbytes = _ggml_tensor_nbytes(n_elements, ggml_type)
out.append((data_start + int(offset), nbytes))
out.sort()
return out
def _pp_cache_paths(url: str) -> "tuple[Path, Path, Path]":
"""Return (cache_path, meta_path, partial_path) for ``url``.
Cache root defaults to ``$PP_MODEL_CACHE_DIR`` then ``~/.cache/pp-pipeline``.
The filename is ``<short-url-hash>-<basename>`` so two URLs that share a
basename cannot collide.
"""
raw = os.environ.get("PP_MODEL_CACHE_DIR", "").strip()
cache_root = Path(raw).expanduser() if raw else Path.home() / ".cache" / "pp-pipeline"
cache_root.mkdir(parents=True, exist_ok=True)
url_hash = hashlib.sha256(url.encode("utf-8")).hexdigest()[:16]
basename = os.path.basename(urllib.parse.urlparse(url).path) or "model.gguf"
cache_path = cache_root / f"{url_hash}-{basename}"
meta_path = cache_path.with_name(cache_path.name + ".pp_meta")
partial_path = cache_path.with_name(cache_path.name + ".partial")
return cache_path, meta_path, partial_path
def _pp_head(url: str) -> "tuple[int, str]":
"""HEAD request; return (Content-Length, Accept-Ranges header lowercased)."""
req = urllib.request.Request(url, method="HEAD")
with urllib.request.urlopen(req, timeout=30) as resp:
total = int(resp.headers.get("Content-Length", "0"))
accept = (resp.headers.get("Accept-Ranges") or "").lower()
return total, accept
def _pp_range_get(url: str, start: int, end_inclusive: int) -> bytes:
"""Issue a Range GET; return the body bytes."""
req = urllib.request.Request(
url, headers={"Range": f"bytes={start}-{end_inclusive}"}
)
with urllib.request.urlopen(req, timeout=120) as resp:
return resp.read()
def _pp_emit_progress(stage: int, bytes_done: int, bytes_total: int, started_at_mono: float) -> None:
"""Emit one `pp_download_progress` event with the spec's field set
(§4.7). `started_at_mono` is `time.monotonic()` captured before the
first event so `elapsed_ms` is monotonic across the fetch."""
elapsed_ms = int((time.monotonic() - started_at_mono) * 1000)
mbps = round(((bytes_done * 8) / 1_000_000) / max(elapsed_ms / 1000, 1e-3), 1)
_emit_event(
"pp_download_progress",
stage_index=stage,
bytes_done=bytes_done,
bytes_total=bytes_total,
elapsed_ms=elapsed_ms,
mbps=mbps,
)
def _pp_fingerprint(f, offset: int, nbytes: int) -> str:
"""Hash the first 4KB + last 4KB of a kept tensor (or the whole
tensor if shorter). The §4.2 content-derived check: matches the
fingerprint recorded in the sidecar at download time."""
sample = 4096
f.seek(offset)
head = f.read(min(sample, nbytes))
if nbytes > sample:
f.seek(offset + nbytes - sample)
tail = f.read(sample)
else:
tail = b""
h = hashlib.sha256()
h.update(head)
h.update(tail)
h.update(nbytes.to_bytes(8, "little"))
return h.hexdigest()
def _pp_write_meta(
meta_path: Path,
cache_path: Path,
stage: int,
num_stages: int,
url: str,
total_size: int,
kept_ranges: "list[tuple[int, int]]",
) -> None:
fingerprints = []
with open(cache_path, "rb") as f:
for offset, nbytes in kept_ranges:
fingerprints.append({
"offset": offset,
"nbytes": nbytes,
"fingerprint": _pp_fingerprint(f, offset, nbytes),
})
meta_path.write_text(json.dumps({
"schema": 1,
"url": url,
"stage": stage,
"num_stages": num_stages,
"total_size": total_size,
"kept": fingerprints,
}))
def _pp_verify_cache(
cache_path: Path,
meta_path: Path,
stage: int,
num_stages: int,
) -> bool:
"""Spec §4.2 integrity check: file present at the expected apparent
size AND every recorded fingerprint re-matches the cached bytes.
Returns False on any discrepancy (including missing files, missing
sidecar, mismatched stage / num_stages, size mismatch, or any
fingerprint mismatch). A passing cache is used as-is — no refetch."""
if not cache_path.exists() or not meta_path.exists():
return False
try:
meta = json.loads(meta_path.read_text())
except (OSError, ValueError):
return False
if meta.get("schema") != 1:
return False
if meta.get("stage") != stage or meta.get("num_stages") != num_stages:
return False
if cache_path.stat().st_size != meta.get("total_size"):
return False
kept = meta.get("kept") or []
if not kept:
return False
try:
with open(cache_path, "rb") as f:
for entry in kept:
offset = int(entry["offset"])
nbytes = int(entry["nbytes"])
expected = entry["fingerprint"]
if _pp_fingerprint(f, offset, nbytes) != expected:
return False
except (OSError, KeyError, ValueError):
return False
return True
def _pp_download_sharded(url: str, stage: int, num_stages: int) -> str:
"""Spec §4.1 + §4.2 + §4.7: fetch only this stage's tensor bytes,
cache idempotently, emit progress events.
Returns the path to the on-disk file (sparse — apparent size matches
the source; only the kept ranges occupy disk blocks). On cache hit,
NO `pp_download_progress` events are emitted (spec §4.7).
"""
cache_path, meta_path, partial_path = _pp_cache_paths(url)
# §4.2: orphan-cleanup any leftover .partial from a previous killed
# fetch BEFORE any new fetch is initiated. Emit an event so the
# bundle reader can see that a stale temp was reaped.
if partial_path.exists():
try:
partial_path.unlink()
_emit_event(
"pp_cache_orphan_cleaned",
stage_index=stage,
path=str(partial_path),
)
except OSError:
pass
# §4.2 cache hit — return the cached file as-is.
if _pp_verify_cache(cache_path, meta_path, stage, num_stages):
_emit_event(
"pp_cache_hit",
stage_index=stage,
path=str(cache_path),
)
return str(cache_path)
# §4.1 fail-fast on no-range support.
total_size, accept_ranges = _pp_head(url)
if "bytes" not in accept_ranges:
_emit_event(
"pp_download_failed",
stage_index=stage,
reason="no_byte_range_support",
url=url,
accept_ranges=accept_ranges,
)
_die(f"source does not support byte-range requests: {url}")
if total_size <= 0:
_emit_event(
"pp_download_failed",
stage_index=stage,
reason="no_content_length",
url=url,
)
_die(f"source did not advertise Content-Length: {url}")
# Fetch the header in growing increments until we can parse it.
header_size = min(_PP_HEADER_INITIAL, total_size)
while True:
try:
header_bytes = _pp_range_get(url, 0, header_size - 1)
t_infos, data_start, kv = _pp_parse_gguf_header(header_bytes)
if data_start <= len(header_bytes):
break
# Parser succeeded structurally but data_start sits past our
# buffer — re-fetch enough to include the tensor data start.
header_size = min(data_start + 1024, total_size)
except _PpHeaderTooShort:
new_size = min(header_size * 2, total_size)
if new_size == header_size or new_size > _PP_HEADER_MAX:
_emit_event(
"pp_download_failed",
stage_index=stage,
reason="header_too_large",
header_size=header_size,
)
_die(f"GGUF header exceeded {_PP_HEADER_MAX} bytes")
header_size = new_size
kept_names = _pp_kept_names(t_infos, stage, num_stages, kv)
kept_ranges = _pp_kept_byte_ranges(t_infos, data_start, kept_names)
# bytes_total is the bytes this stage will pull from the network:
# header + kept-tensor regions. Not the full file (spec §4.1 means
# we never fetch the rest).
header_keep_bytes = data_start
kept_bytes_total = sum(nb for _, nb in kept_ranges)
bytes_total = header_keep_bytes + kept_bytes_total
interval_s_raw = os.environ.get("PP_DOWNLOAD_PROGRESS_INTERVAL_SECS", "").strip()
try:
interval_s = float(interval_s_raw) if interval_s_raw else 10.0
except ValueError:
interval_s = 10.0
if interval_s <= 0:
interval_s = 10.0
# Write the sparse output to `.partial`; rename on success. Opening
# with "wb" then truncate(total_size) creates a sparse file on
# Linux: only blocks we actually `write()` allocate disk.
started_at = time.monotonic()
with open(partial_path, "wb") as f:
f.truncate(total_size)
f.seek(0)
f.write(header_bytes[:data_start])
bytes_done = data_start
# Spec §4.7: first event MUST be at start of fetch, AFTER we
# know bytes_total. We have that now.
_pp_emit_progress(stage, bytes_done, bytes_total, started_at)
last_emit = time.monotonic()
for offset, nbytes in kept_ranges:
req = urllib.request.Request(
url,
headers={"Range": f"bytes={offset}-{offset + nbytes - 1}"},
)
try:
resp = urllib.request.urlopen(req, timeout=300)
except Exception as e:
_emit_event(
"pp_download_failed",
stage_index=stage,
reason="range_get_failed",
offset=offset,
nbytes=nbytes,
error=str(e),
)
# Spec §4.7: final event MUST be emitted on fetch failure.
_pp_emit_progress(stage, bytes_done, bytes_total, started_at)
_die(f"range GET failed at offset {offset}: {e}")
try:
f.seek(offset)
while True:
chunk = resp.read(_PP_DOWNLOAD_READ_CHUNK)
if not chunk:
break
f.write(chunk)
bytes_done += len(chunk)
now = time.monotonic()
if now - last_emit >= interval_s:
_pp_emit_progress(stage, bytes_done, bytes_total, started_at)
last_emit = now
finally:
resp.close()
# Spec §4.7: final event at completion.
_pp_emit_progress(stage, bytes_done, bytes_total, started_at)
# Sidecar before rename so a crash between rename + meta-write does
# not leave a "valid file, no sidecar" → would fail _pp_verify and
# refetch. Writing the sidecar first means a crash here leaves
# cache_path absent and partial_path present (which orphan-cleanup
# reaps on next boot).
_pp_write_meta(
meta_path, partial_path, stage, num_stages, url, total_size, kept_ranges
)
os.replace(partial_path, cache_path)
return str(cache_path)
def _load_sharded_transformer(gguf_path, stage: int, num_stages: int, max_context: int = 512):
"""Load only this stage's slice of the model onto the compute device.
Stock ``Transformer.from_gguf`` copies the *entire* GGUF onto the compute
device before any layer runs (it does ``gguf.to(None)``), so an 18 GB model
OOMs a 12 GB GPU no matter how the layers are split. Instead we parse the
GGUF header on the DISK device and copy only the tensors this stage needs —
``blk[start:end]`` plus ``token_embd`` (stage 0) and ``output_norm`` /
``output`` (last stage) — dequantizing each on the compute device. Returns
``(model, kv, start, end)``. Vendored against tinygrad 0.12.0's gguf format.
"""
import io
import struct
import functools
from tinygrad import Tensor, Device, nn
from tinygrad.helpers import prod, round_up, getenv
from tinygrad.nn.state import TensorIO, ggml_data_to_tensor
from tinygrad.apps.llm import Transformer
_t0 = time.monotonic()
gguf = Tensor(gguf_path) # device is DISK:<path> — nothing is copied to the GPU yet
# --- parse the GGUF header (kv metadata + tensor directory) off disk ---
reader = io.BufferedReader(TensorIO(gguf), 1_000_000)
def _unpack(fmt, nbytes):
return struct.unpack(fmt, reader.read(nbytes))[0]
def _read_str():
return str(reader.read(_read_u64()), "utf-8")
def _read_arr():
elem_reader, count = _readers[_read_i32()], _read_u64()
return [elem_reader() for _ in range(count)]
_readers = {8: _read_str, 9: _read_arr, **{t: functools.partial(_unpack, "<" + f, nb) for t, f, nb in
[(0, "c", 1), (1, "b", 1), (2, "H", 2), (3, "h", 2), (4, "I", 4), (5, "i", 4),
(6, "f", 4), (7, "?", 1), (10, "Q", 8), (11, "q", 8), (12, "d", 8)]}}
_read_u32, _read_i32, _read_u64 = _readers[4], _readers[5], _readers[10]
magic, version = reader.read(4), _read_i32()
n_tensors, n_kv = _read_u64(), _read_u64()
if magic != b"GGUF" or version not in (2, 3):
raise ValueError(f"invalid GGUF (magic={magic!r} version={version})")
kv = {}
for _ in range(n_kv):
key, typ = _read_str(), _read_i32()
kv[key] = _readers[typ]()
t_infos = [(_read_str(), tuple(_read_u64() for _ in range(_read_u32())), _read_i32(), _read_u64())
for _ in range(n_tensors)]
data_start = round_up(reader.tell(), kv.get("general.alignment", 32))
_t_header = time.monotonic()
arch = kv["general.architecture"]
total_blocks = int(kv[f"{arch}.block_count"])
start, end = compute_layer_range(stage, num_stages, total_blocks)
is_last = stage == num_stages - 1
names = {info[0] for info in t_infos}
tied_output = "output.weight" not in names # small models tie output to token_embd
def _kept(name: str) -> bool:
for i in range(start, end):
if name.startswith(f"blk.{i}."):
return True
if name == "token_embd.weight" and (stage == 0 or (is_last and tied_output)):
return True
if name == "output_norm.weight" and is_last:
return True
if name == "output.weight" and is_last and not tied_output:
return True
return False
half, device = getenv("HALF", 1), Device.DEFAULT
state_dict = {}
bytes_copied = 0
kept_count = 0
for name, dims, ggml_type, offset in t_infos:
n_elements = prod(dims)
if _kept(name):
nbytes = _ggml_tensor_nbytes(n_elements, ggml_type)
bytes_copied += nbytes
kept_count += 1
raw = gguf[data_start + offset: data_start + offset + nbytes].to(device)
tensor = ggml_data_to_tensor(raw, n_elements, ggml_type).reshape(*reversed(dims))
if arch == "llama": # interleaved -> half-split RoPE layout (llama-style only)
n_heads, n_kv_heads = kv[f"{arch}.attention.head_count"], kv[f"{arch}.attention.head_count_kv"]
if "attn_q.weight" in name:
tensor = tensor.rearrange("(n h two) d -> (n two h) d", n=n_heads, two=2)
if "attn_k.weight" in name:
tensor = tensor.rearrange("(n h two) d -> (n two h) d", n=n_kv_heads, two=2)
state_dict[name] = tensor.cast("float16") if half else tensor
else:
# DISK-rooted lazy tensor: only its .shape is read (model construction); never realized.
state_dict[name] = ggml_data_to_tensor(gguf[data_start + offset:], n_elements, ggml_type).reshape(*reversed(dims))
if tied_output and is_last:
state_dict["output.weight"] = state_dict["token_embd.weight"]
_t_statedict = time.monotonic()
n_heads = kv[f"{arch}.attention.head_count"]
model = Transformer(
num_blocks=total_blocks, dim=kv[f"{arch}.embedding_length"],
hidden_dim=kv.get(f"{arch}.expert_feed_forward_length", kv[f"{arch}.feed_forward_length"]),
n_heads=n_heads, n_kv_heads=kv[f"{arch}.attention.head_count_kv"],
norm_eps=kv[f"{arch}.attention.layer_norm_rms_epsilon"], vocab_size=len(kv["tokenizer.ggml.tokens"]),
head_dim=kv.get(f"{arch}.attention.key_length", kv[f"{arch}.embedding_length"] // n_heads),
rope_theta=kv[f"{arch}.rope.freq_base"], max_context=max_context,
qk_norm=int(state_dict["blk.0.attn_q_norm.weight"].shape[0]) if "blk.0.attn_q_norm.weight" in state_dict else 0,
num_experts=kv.get(f"{arch}.expert_count", 0), num_experts_per_tok=kv.get(f"{arch}.expert_used_count", 0))
_t_construct = time.monotonic()
# Provide only the kept weights; strict=False leaves the other blocks at their
# (lazy, never-run) init so they never touch the compute device.
kept = {name: tensor for name, tensor in state_dict.items()
if _kept(name) or (tied_output and is_last and name == "output.weight")}
# This is where the kept tensors are actually copied off disk and
# dequantized on the compute device — the dominant load cost.
nn.state.load_state_dict(model, kept, strict=False, verbose=False, consume=True, realize=True)
_t_realize = time.monotonic()
realize_ms = (_t_realize - _t_construct) * 1000
_emit_event(
"model_load_breakdown",
stage=stage,
resident_blocks=end - start,
total_blocks=total_blocks,
kept_tensors=kept_count,
bytes_copied=bytes_copied,
mb_copied=round(bytes_copied / 1_000_000, 1),
header_ms=round((_t_header - _t0) * 1000, 1),
statedict_build_ms=round((_t_statedict - _t_header) * 1000, 1),
construct_ms=round((_t_construct - _t_statedict) * 1000, 1),
realize_ms=round(realize_ms, 1),
realize_mb_per_s=round((bytes_copied / 1_000_000) / max(realize_ms / 1000, 1e-3), 1),
rss_mb=_rss_mb(),
)
return model, kv, start, end
def argmax_sample(logits: Sequence[float]) -> int:
"""Return the index of the maximum element in ``logits``.
@ -229,6 +849,14 @@ def _uptime_ms() -> int:
return int((time.monotonic() - _WORKER_START_MONOTONIC) * 1000)
def _wall_ms() -> int:
"""Epoch milliseconds. Lets the bundle align worker events across nodes
and against the orchestrator's vast.ai create/lease timestamps — e.g.
(worker `starting`.wall_ms − instance create_ms) is the image-pull +
container-boot + worker-spawn cost the node can't see itself."""
return int(time.time() * 1000)
def _rss_mb() -> "int | None":
"""Resident-set size in MB, read from /proc/self/status (Linux).
Returns None on non-Linux or when the read fails — the field is
@ -335,17 +963,27 @@ class _RealModelState:
# the most likely crash site in real mode — emit lifecycle
# events around the import so the bundle records exactly when
# the worker started loading and how long it took.
_emit_event("importing_tinygrad", stage=stage)
_emit_event("importing_tinygrad", stage=stage, wall_ms=_wall_ms())
_import_start = time.monotonic()
import numpy as np
from tinygrad import Tensor
from tinygrad.helpers import fetch
from tinygrad.apps.llm import Transformer, SimpleTokenizer, models
from tinygrad import Tensor, Device
from tinygrad.helpers import fetch, getenv
from tinygrad.apps.llm import SimpleTokenizer, models
import_ms = int((time.monotonic() - _import_start) * 1000)
_emit_event("tinygrad_imported", stage=stage, elapsed_ms=import_ms)
# Device + precision context: which backend the shard lands on and the
# toggles (HALF/JIT/BEAM) that dominate load + inference cost. Correlate
# with model_load_breakdown / op events to attribute time to dequant vs
# kernel compile vs steady-state matmul.
_emit_event(
"tinygrad_imported",
"device",
stage=stage,
elapsed_ms=int((time.monotonic() - _import_start) * 1000),
default_device=str(Device.DEFAULT),
half=getenv("HALF", 1),
jit=getenv("JIT", 1),
beam=getenv("BEAM", 0),
cuda_visible=os.environ.get("CUDA_VISIBLE_DEVICES"),
)
if model_name not in models:
@ -353,42 +991,90 @@ class _RealModelState:
_die(f"unknown MODEL {model_name!r}; available: {available}")
url = models[model_name]
_emit_event("fetching_model", stage=stage, model=model_name, url=url)
_emit_event("fetching_model", stage=stage, model=model_name, url=url, wall_ms=_wall_ms())
print(
f"pp_tinygrad_worker: stage={stage}/{num_stages} fetching {model_name}",
file=sys.stderr,
flush=True,
)
_fetch_start = time.monotonic()
gguf_path = fetch(url)
# Spec §4.1: download only this stage's tensor byte ranges.
# Spec §4.2: cache idempotently with an integrity check; a
# complete-and-valid cache MUST NOT trigger a network fetch.
# Spec §4.7: `pp_download_progress` events are emitted by
# `_pp_download_sharded` while the fetch is in progress and
# NEVER on a cache hit. The unused `fetch` import remains as
# documentation of the prior code path; the sharded fetcher
# replaces it.
_ = fetch # silence the linter; kept for the diff reader
gguf_path = _pp_download_sharded(url, stage, num_stages)
fetch_ms = int((time.monotonic() - _fetch_start) * 1000)
# `gguf_bytes` is the file's apparent size (matches the source's
# total_size); actual on-disk usage is O(per-stage shard). Bundle
# readers reading `model_fetched.gguf_bytes` see the same value
# they did before the §4.1 change — the per-stage usage shows up
# in `pp_download_progress.bytes_total` (header + kept ranges).
try:
gguf_bytes = os.path.getsize(gguf_path)
except OSError:
gguf_bytes = 0
fetch_mb = gguf_bytes / 1_000_000
# A near-instant return with a non-zero apparent size means the
# sharded cache hit short-circuited the fetch. Distinguishable
# in the bundle from a real download via the presence (or not)
# of `pp_download_progress` events.
cache_hit = gguf_bytes > 0 and fetch_ms < 2000
download_mb_per_s = None if cache_hit else round(fetch_mb / max(fetch_ms / 1000, 1e-3), 1)
_emit_event(
"model_fetched",
stage=stage,
elapsed_ms=int((time.monotonic() - _fetch_start) * 1000),
elapsed_ms=fetch_ms,
gguf_path=str(gguf_path),
gguf_bytes=gguf_bytes,
gguf_mb=round(fetch_mb, 1),
download_mb_per_s=download_mb_per_s,
cache_hit=cache_hit,
)
print(
f"pp_tinygrad_worker: stage={stage} loading model from {gguf_path}",
file=sys.stderr,
flush=True,
)
_emit_event("loading_model", stage=stage, model=model_name)
_emit_event("loading_model", stage=stage, model=model_name, wall_ms=_wall_ms())
_load_start = time.monotonic()
model, kv = Transformer.from_gguf(Tensor(gguf_path), max_context=512)
tokenizer = SimpleTokenizer.from_gguf_kv(kv)
_emit_event(
"model_loaded",
stage=stage,
elapsed_ms=int((time.monotonic() - _load_start) * 1000),
rss_mb=_rss_mb(),
# Shard at load time: only this stage's block range (+ embed/output on the
# end stages) is copied to the compute device, so an 18 GB model fits on a
# 12 GB GPU. See _load_sharded_transformer for why stock from_gguf can't.
# The loader emits its own `model_load_breakdown` (header/dequant/realize).
model, kv, start, end = _load_sharded_transformer(
gguf_path, stage, num_stages, max_context=512
)
load_ms = int((time.monotonic() - _load_start) * 1000)
tokenizer = SimpleTokenizer.from_gguf_kv(kv)
arch = kv["general.architecture"]
hidden_dim = int(kv[f"{arch}.embedding_length"])
total_blocks = int(kv[f"{arch}.block_count"])
vocab_size = len(kv["tokenizer.ggml.tokens"])
start, end = compute_layer_range(stage, num_stages, total_blocks)
_emit_event(
"model_loaded",
stage=stage,
elapsed_ms=load_ms,
rss_mb=_rss_mb(),
blocks_resident=end - start,
total_blocks=total_blocks,
)
# Stash the cold-start breakdown so main() can emit one `boot_profile`
# summary once the worker is ready (import + fetch + load + total).
self.timing = {
"import_ms": import_ms,
"fetch_ms": fetch_ms,
"fetch_cache_hit": cache_hit,
"gguf_bytes": gguf_bytes,
"download_mb_per_s": download_mb_per_s,
"load_ms": load_ms,
}
# Pin EOS token ids (best-effort) for callers that want to detect
# end-of-text from the sampled stream. We don't enforce stop here
@ -414,6 +1100,9 @@ class _RealModelState:
self.start = start
self.end = end
self.eos_ids = eos_ids
# Per-op compute breakdown (deserialize / compute / host-copy ms), set by
# the forward ops and folded into the serve loop's `op` timing event.
self._last_compute: "dict | None" = None
print(
f"pp_tinygrad_worker: stage={stage} ready "
@ -427,16 +1116,29 @@ class _RealModelState:
def embed_and_forward(self, tokens: Sequence[int], position: int) -> tuple[bytes, int]:
Tensor = self._Tensor
t0 = time.monotonic()
t = Tensor([list(tokens)], dtype="int32")
x = self.model.token_embd(t)
for block in self.model.blk[self.start : self.end]:
x = block(x, position)
# Cast to half (2 bytes/elem) for the wire format, matching the
# stub. The model's weights are float16; the op output may have
# promoted to float32, so an explicit cast normalises this.
# promoted to float32, so an explicit cast normalises this. tinygrad is
# lazy: embed + blocks + cast all *execute* at .realize() below (incl.
# JIT kernel compile on the first call), so compute_ms captures them.
t1 = time.monotonic()
x = x.cast("half").realize()
t2 = time.monotonic()
arr = x.numpy() # shape (1, seq_len, hidden_dim), dtype float16
return arr.tobytes(), int(arr.shape[1])
out = arr.tobytes()
t3 = time.monotonic()
self._last_compute = {
"build_ms": round((t1 - t0) * 1000, 2),
"compute_ms": round((t2 - t1) * 1000, 2),
"host_copy_ms": round((t3 - t2) * 1000, 2),
"out_bytes": len(out),
}
return out, int(arr.shape[1])
def forward_range(
self, hidden_bytes: bytes, position: int, seq_len: int
@ -456,17 +1158,29 @@ class _RealModelState:
f"seq_len*hidden_dim*2 ({seq_len}*{self.hidden_dim}*{BYTES_PER_ELEM} "
f"= {expected})"
)
t0 = time.monotonic()
arr = (
np.frombuffer(hidden_bytes, dtype=np.float16)
.reshape((1, seq_len, self.hidden_dim))
.copy()
)
x = Tensor(arr)
t1 = time.monotonic()
for block in self.model.blk[self.start : self.end]:
x = block(x, position)
x = x.cast("half").realize()
out = x.numpy()
return out.tobytes(), int(out.shape[1])
t2 = time.monotonic()
out_arr = x.numpy()
out = out_arr.tobytes()
t3 = time.monotonic()
self._last_compute = {
"deserialize_ms": round((t1 - t0) * 1000, 2),
"compute_ms": round((t2 - t1) * 1000, 2),
"host_copy_ms": round((t3 - t2) * 1000, 2),
"in_bytes": len(hidden_bytes),
"out_bytes": len(out),
}
return out, int(out_arr.shape[1])
def forward_and_sample(
self, hidden_bytes: bytes, position: int, seq_len: int
@ -480,19 +1194,29 @@ class _RealModelState:
f"seq_len*hidden_dim*2 ({seq_len}*{self.hidden_dim}*{BYTES_PER_ELEM} "
f"= {expected})"
)
t0 = time.monotonic()
arr = (
np.frombuffer(hidden_bytes, dtype=np.float16)
.reshape((1, seq_len, self.hidden_dim))
.copy()
)
x = Tensor(arr)
t1 = time.monotonic()
for block in self.model.blk[self.start : self.end]:
x = block(x, position)
x = self.model.output_norm(x)
logits = self.model.output(x)
# Argmax on the last position's logits. Matches what
# ``Transformer.forward`` does at llm.py:178.
# ``Transformer.forward`` does at llm.py:178. The .item() forces the
# blocks + output projection (over the full vocab) to execute here.
token_id = int(logits[0, -1, :].argmax().item())
t2 = time.monotonic()
self._last_compute = {
"deserialize_ms": round((t1 - t0) * 1000, 2),
"compute_ms": round((t2 - t1) * 1000, 2),
"in_bytes": len(hidden_bytes),
"token_id": token_id,
}
return token_id
def generate_full(self, prompt: str, max_tokens: int) -> list[int]:
@ -510,6 +1234,12 @@ class _RealModelState:
as positions are revisited, so the same worker can serve multiple
independent prompts.
"""
if self.start != 0 or self.end != self.total_blocks:
raise RuntimeError(
"generate_full needs the whole model resident, but this stage only "
f"holds blk[{self.start}:{self.end}) of {self.total_blocks}. Use the "
"per-stage ops (embed_and_forward / forward_range / forward_and_sample)."
)
Tensor = self._Tensor
if max_tokens <= 0:
return []
@ -804,6 +1534,11 @@ def main(argv: Sequence[str] | None = None) -> int:
model=(args.model or os.environ.get("MODEL", "")).strip() or None,
python_version=sys.version.split()[0],
argv=list(sys.argv),
# wall_ms anchors this worker's boot against the orchestrator's vast.ai
# instance create/lease time — the only way to measure image-pull +
# container-boot latency, which the worker can't observe directly.
wall_ms=_wall_ms(),
host=os.uname().nodename,
)
_start_heartbeat()
@ -845,19 +1580,35 @@ def main(argv: Sequence[str] | None = None) -> int:
ready["layer_range"] = [real_state.start, real_state.end]
ready["eos_token_ids"] = real_state.eos_ids
_write(ready)
# Mirror ready as a structured event so the bundle records it under
# the same `worker_*` kind family as the rest of the lifecycle. The
# `status: "ready"` line above is kept for back-compat with the Rust
# `parse_status_line` helper that drives the actor's ready signal.
# Mirror ready as a structured event under the spec's event name
# (§4.6 / §6.9: per-stage filter on `pp_worker_ready`). The
# `pp_*` event kind is passed through unchanged by the Rust actor
# so the bundle records `Custom("pp_worker_ready")`, matching the
# name the orchestrator-side wired check filters on. The protocol
# `status: "ready"` line above is unchanged for the actor's ready
# signal.
_emit_event(
"ready",
"pp_worker_ready",
pid=os.getpid(),
stage=stage,
stage_index=stage,
uptime_ms=_uptime_ms(),
rss_mb=_rss_mb(),
)
# One-stop cold-start breakdown so a single event answers "where did
# bring-up time go" per node: import + (fetch|cache) + load == time-to-ready.
if real_state is not None:
_emit_event(
"boot_profile",
stage=stage,
total_to_ready_ms=_uptime_ms(),
rss_mb=_rss_mb(),
blocks_resident=real_state.end - real_state.start,
**real_state.timing,
)
global _REQUESTS_SERVED
seen_ops: set = set()
last_op_end = time.monotonic()
for line in sys.stdin:
line = line.strip()
if not line:
@ -870,6 +1621,14 @@ def main(argv: Sequence[str] | None = None) -> int:
if not isinstance(req, dict):
_write({"error": f"request must be a JSON object, got {type(req).__name__}"})
continue
op = req.get("op")
if real_state is not None:
real_state._last_compute = None
t_start = time.monotonic()
# idle_ms_before is the pipeline bubble: how long this worker sat
# blocked on its upstream stage between finishing the last op and
# receiving this one. High idle => the bottleneck is elsewhere.
idle_ms = round((t_start - last_op_end) * 1000, 2)
try:
reply = _handle_request(req, stage, num_stages, real_state=real_state)
except Exception as e: # last-ditch safety net so the worker stays up
@ -878,6 +1637,29 @@ def main(argv: Sequence[str] | None = None) -> int:
print(traceback.format_exc(), file=sys.stderr, flush=True)
reply = {"request_id": req.get("request_id"), "error": f"internal: {e}"}
_write(reply)
t_end = time.monotonic()
# Per-op trace — the granular signal for end-to-end latency. `first_call`
# flags the JIT-compile-bearing first invocation of each op (kernels are
# compiled once, then cached). `rid` (not `request_id`) keeps the Rust
# actor from ever mistaking this event line for an op reply.
is_first = op not in seen_ops
seen_ops.add(op)
_emit_event(
"op",
op=op,
rid=req.get("request_id"),
stage=stage,
duration_ms=round((t_end - t_start) * 1000, 2),
idle_ms_before=idle_ms,
first_call=is_first,
ok=isinstance(reply, dict) and "error" not in reply,
in_tokens=len(req["tokens"]) if isinstance(req.get("tokens"), list) else None,
in_seq_len=req.get("seq_len"),
out_seq_len=reply.get("seq_len") if isinstance(reply, dict) else None,
compute=(real_state._last_compute if real_state is not None else None),
uptime_ms=_uptime_ms(),
)
last_op_end = t_end
_REQUESTS_SERVED += 1
_emit_event(

View file

@ -39,7 +39,7 @@ use distribution::iroh_driver::{IrohDriver, IrohDriverConfig};
use distribution::node::DistributedNodeConfig;
use distribution::registry::RegistryConfig;
use distribution::swim::probe::SwimConfig;
use iroh::{PublicKey, RelayMode};
use iroh::{PublicKey, RelayMode, SecretKey};
use swactor::actor::ActorAddress;
use swactor::runtime::{Runtime, RuntimeConfig};
@ -99,6 +99,36 @@ fn require_u32(name: &str) -> u32 {
})
}
/// A held cluster's stages must keep a STABLE node id across a redeploy
/// bounce, or the pipeline name registry (pp-entry / pp-stage-N) keeps
/// routing to the dead pre-bounce id and the response never returns.
/// `PP_STAGE_SECRET` (64 hex = 32 bytes) pins this stage's keypair; it is
/// injected at instance-create time, so it is re-read from PID 1's env on
/// every restart and the stage id is unchanged. Unset → random identity
/// (fine for a one-shot localhost `--seed` run).
fn stage_secret_from_env() -> Option<SecretKey> {
let hex = std::env::var("PP_STAGE_SECRET").ok()?;
let hex = hex.trim();
if hex.is_empty() {
return None;
}
if hex.len() != 64 {
eprintln!(
"pp-gpu-node: PP_STAGE_SECRET must be 64 hex chars, got {}",
hex.len()
);
std::process::exit(2);
}
let mut bytes = [0u8; 32];
for (i, b) in bytes.iter_mut().enumerate() {
*b = u8::from_str_radix(&hex[i * 2..i * 2 + 2], 16).unwrap_or_else(|_| {
eprintln!("pp-gpu-node: PP_STAGE_SECRET is not valid hex");
std::process::exit(2);
});
}
Some(SecretKey::from_bytes(&bytes))
}
fn node_config() -> DistributedNodeConfig {
DistributedNodeConfig {
swim: SwimConfig {
@ -292,7 +322,133 @@ fn maybe_simulate_boot_delay(stage: u32) {
}
}
// ─── PROTOTYPE_BINARY_SWAP (spec §5.1) ────────────────────────────────
//
// Out-of-band binary swap scaffolding. Disabled by default — a freshly
// pulled image with no `PP_BINARY_SWAP_*` env vars boots using the
// binary it shipped with (spec §5.1: "The worker's normal boot path
// MUST NOT consult this URL"). When both env vars are set, the worker
// fetches the URL, verifies the SHA-256 digest, atomically renames the
// new binary over the running binary, and exits so the container's
// restart policy spawns the new binary.
//
// All wiring tagged `PROTOTYPE_BINARY_SWAP` for spec §5.3
// grep-discoverability. Removal criterion: when image build/push is no
// longer a binding constraint on iteration speed, delete:
// - this function and its call site in `main()`
// - the `sha2` dep added to Cargo.toml under the same comment
// - the `PP_BINARY_SWAP_*` env vars from any deploy docs
fn prototype_binary_swap_maybe_apply() {
let url = match std::env::var("PP_BINARY_SWAP_URL") {
Ok(u) if !u.trim().is_empty() => u.trim().to_string(),
_ => return, // PROTOTYPE_BINARY_SWAP: gate off — normal boot.
};
let expected_digest = match std::env::var("PP_BINARY_SWAP_SHA256") {
Ok(d) if !d.trim().is_empty() => d.trim().to_lowercase(),
_ => {
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP — PP_BINARY_SWAP_URL is set \
but PP_BINARY_SWAP_SHA256 is missing; refusing to swap (spec §5.1 \
requires both URL and digest)"
);
std::process::exit(2);
}
};
let our_path = std::env::current_exe()
.expect("PROTOTYPE_BINARY_SWAP: current_exe failed");
let mut new_os = our_path.clone().into_os_string();
new_os.push(".new");
let new_path = std::path::PathBuf::from(new_os);
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP fetching {url} → {}",
new_path.display()
);
let rt = tokio::runtime::Builder::new_current_thread()
.enable_all()
.build()
.expect("PROTOTYPE_BINARY_SWAP: tokio runtime");
let bytes = rt
.block_on(async {
let resp = reqwest::get(&url)
.await
.map_err(|e| format!("HTTP GET failed: {e}"))?;
if !resp.status().is_success() {
return Err(format!("HTTP {}", resp.status()));
}
resp.bytes().await.map_err(|e| format!("read body: {e}"))
})
.unwrap_or_else(|e| {
eprintln!("pp-gpu-node: PROTOTYPE_BINARY_SWAP fetch failed: {e}");
std::process::exit(1);
});
use sha2::{Digest, Sha256};
let mut hasher = Sha256::new();
hasher.update(&bytes);
let actual_digest = format!("{:x}", hasher.finalize());
if actual_digest != expected_digest {
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP digest mismatch: expected {expected_digest}, \
got {actual_digest} — refusing to install"
);
std::process::exit(1);
}
if let Err(e) = std::fs::write(&new_path, &bytes) {
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP write {} failed: {e}",
new_path.display()
);
std::process::exit(1);
}
// Mark the staged binary executable (the URL host may serve it as
// a plain file with no +x bit).
#[cfg(unix)]
{
use std::os::unix::fs::PermissionsExt;
if let Err(e) = std::fs::set_permissions(
&new_path,
std::fs::Permissions::from_mode(0o755),
) {
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP chmod {} failed: {e}",
new_path.display()
);
std::process::exit(1);
}
}
// Spec §5.1: "Atomically rename the new binary over the running
// binary." Linux rename() is atomic when both paths are on the
// same filesystem; renaming over a memory-mapped ELF unlinks the
// old inode but lets the running process continue (we exit
// immediately below, so this is harmless).
if let Err(e) = std::fs::rename(&new_path, &our_path) {
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP rename {} → {} failed: {e}",
new_path.display(),
our_path.display()
);
std::process::exit(1);
}
eprintln!(
"pp-gpu-node: PROTOTYPE_BINARY_SWAP installed {} bytes; exiting for container restart",
bytes.len()
);
// Exit 0; the container's restart policy (typically `restart:
// always`) re-execs the new binary.
std::process::exit(0);
}
fn main() {
// PROTOTYPE_BINARY_SWAP (spec §5.1): inert when env vars unset.
// Run before any other boot work so the spec's "normal boot path
// MUST NOT consult this URL" holds — we either apply the swap and
// exit, or return immediately and let normal boot proceed.
prototype_binary_swap_maybe_apply();
let stage = require_u32("STAGE");
let num_stages = require_u32("NUM_STAGES");
if num_stages < 2 || stage >= num_stages {
@ -328,7 +484,7 @@ fn main() {
};
let mut driver = IrohDriver::new(IrohDriverConfig {
secret_key: None,
secret_key: stage_secret_from_env(),
relay_mode,
node: node_config(),
peer_auth: None,
@ -346,6 +502,26 @@ fn main() {
.as_ref()
.map(|d| d.subprocess_introspect().clone());
// Stamp the bundle the moment this process announces itself, so a
// bundle reader can tell two pp-gpu-node incarnations of the same
// stage apart: a --redeploy bounce pkills the old process and
// setsid's a new one under the same PID-1 env, which means the same
// run_id + node_id, but the pid differs. The event carries that
// pid + wall clock as the slice point. No-op without diagnostics.
driver.emit(distribution::diagnostics::event::Event::Custom {
kind: "pp_stage_bounce".into(),
fields: serde_json::json!({
// Spec §4.8: stage worker events MUST carry stage_index
// top-level. The legacy `stage` alias is kept for back-compat
// with bundle consumers that filtered on it.
"stage_index": stage,
"stage": stage,
"num_stages": num_stages,
"pid": std::process::id(),
"boot_wall_ms": distribution::diagnostics::wall_ms_now(),
}),
});
let my_id = driver.node_id();
let my_hex: String = my_id.0.iter().map(|b| format!("{:02x}", b)).collect();
let direct_addrs: Vec<String> = driver
@ -446,8 +622,25 @@ fn main() {
driver.node_mut().set_relay_url(Some(home.to_string()));
}
if !wait_for_cluster(&mut driver, Duration::from_secs(120)) {
eprintln!("pp-gpu-node: cluster did not converge in 120s");
// SWIM convergence gate. The old hardcoded 120s was fatal on vast.ai:
// every stage's only join target is the seed (the orchestrator), so a
// stage can only converge once the orchestrator is ticking SWIM and acking
// its pings. But the orchestrator is blocked in synchronous work for
// minutes at a time — the vast.ai lease (HTTP polling in lease_chain) and
// the redeploy scp/bounce loop — and never acks during those windows.
// Stages that booted early would hit 120s with no alive peer and exit(1)
// before the orchestrator ever became responsive (resolve loop), leaving
// "running" containers with dead processes. The window a stage must outlast
// is "however long the orchestrator stays busy", so the ceiling defaults
// high and is tunable via PP_CONVERGE_TIMEOUT_SECS. Convergence is
// near-instant once the orchestrator starts ticking, so a generous ceiling
// only costs wall-clock in the genuine no-connectivity case.
let converge_secs: u64 = std::env::var("PP_CONVERGE_TIMEOUT_SECS")
.ok()
.and_then(|s| s.trim().parse().ok())
.unwrap_or(1200);
if !wait_for_cluster(&mut driver, Duration::from_secs(converge_secs)) {
eprintln!("pp-gpu-node: cluster did not converge in {converge_secs}s");
std::process::exit(1);
}
eprintln!("pp-gpu-node: cluster converged");
@ -587,6 +780,23 @@ fn run_stage(
};
let stage_actor_addr = rt.spawn(actor).unwrap();
// Effective worker-ready and neighbor-resolve timeouts. §4.3 couples
// the neighbor resolve to worker-ready: a stage that has itself
// become ready MUST be willing to wait for its downstream neighbor
// for at least as long as it would wait for its own worker. With
// the per-index registration deferred to post-worker-ready (below),
// the neighbor's name is genuinely unavailable until the neighbor's
// worker boots; the resolve must outlast that boot.
let worker_ready_secs: u64 = std::env::var("PP_WORKER_READY_TIMEOUT_SECS")
.ok()
.and_then(|s| s.trim().parse().ok())
.unwrap_or(1800);
let neighbor_resolve_secs: u64 = std::env::var("PP_NEIGHBOR_RESOLVE_TIMEOUT_SECS")
.ok()
.and_then(|s| s.trim().parse().ok())
.unwrap_or(worker_ready_secs);
let neighbor_resolve_timeout = Duration::from_secs(neighbor_resolve_secs);
// Bridges are wired per role:
// First: RequestBridge (entry) + NextTokenBridge (per-index).
// Middle, Last: ActivationBridge (per-index).
@ -622,20 +832,35 @@ fn run_stage(
None
};
// Register pp-stage-{stage} IMMEDIATELY so neighbouring stages can
// resolve us. The per-index bridge is the role's *inbound-from-network*
// adapter:
// The per-index bridge is the role's *inbound-from-network* adapter:
// First: receives NextTokens from Last → NextTokenBridge.
// Middle, Last: receives StageActivations → ActivationBridge.
//
// Registration is deferred to AFTER the worker is ready (below) so
// that the SWIM name `pp-stage-{stage}` is a real signal of stage
// readiness — the orchestrator polls every per-index name to know
// when to emit `pp_pipeline_wired` (spec §4.6). The per-index actor
// address itself remains the bridge target.
let per_index_bridge_addr = match role {
StageRole::First => next_token_bridge_addr.unwrap(),
StageRole::Middle | StageRole::Last => activation_bridge_addr.unwrap(),
};
register_name(&mut driver, &stage_name(stage), per_index_bridge_addr, stage);
// Worker boot can take time even in stub mode (Python startup +
// tinygrad import on real mode). Generous timeout.
if !wait_for_worker_ready(&rt, &mut driver, &status_inbox, Duration::from_secs(600)) {
// tinygrad import on real mode). On a real run the worker also fetches
// and realizes its model slice: an ~18 GB MoE GGUF (qwen3:30b-a3b) on a
// cold node can spend many minutes downloading before it reports ready,
// and the old hardcoded 600s wall would exit(1) a still-loading stage
// before we ever learn whether the load succeeds. Default high and make
// it tunable via PP_WORKER_READY_TIMEOUT_SECS; a generous ceiling only
// costs wall-clock when a worker is genuinely wedged (which the
// ProcessExited branch below already short-circuits).
if !wait_for_worker_ready(
&rt,
&mut driver,
&status_inbox,
Duration::from_secs(worker_ready_secs),
) {
eprintln!("pp-gpu-node: stage-{stage} worker did not become ready");
// The StageActor already emitted Custom("worker_exited") in
// response to ProcessNotification::Exited. Give the HTTP-sink
@ -648,15 +873,24 @@ fn run_stage(
std::process::exit(1);
}
// Now that this worker is ready, publish our per-index name. Spec
// §4.6: the orchestrator uses each `pp-stage-{K}`'s availability as
// a per-stage worker-ready signal when deciding to emit
// `pp_pipeline_wired`. Spec §4.3: neighbour resolves wait on this
// for as long as worker-ready takes.
register_name(&mut driver, &stage_name(stage), per_index_bridge_addr, stage);
// Resolve neighbours and wire routes per role. Stage 3 keeps the
// 2-stage resolution targets in place (Last looks up stage 0 as its
// NextToken sink, which happens to be First in N=2).
// NextToken sink, which happens to be First in N=2). Each neighbor
// resolution uses the §4.3 coupled timeout so a slow-to-boot neighbor
// cannot break a healthy chain.
match role {
StageRole::First => {
let next_name = next_stage_name(stage, num_stages)
.expect("first stage has a next neighbour for N>=2");
let (next_addr, next_hex) =
resolve_or_die(&mut driver, &next_name, Duration::from_secs(120));
resolve_or_die(&mut driver, &next_name, neighbor_resolve_timeout);
eprintln!(
"pp-gpu-node: resolved {next_name} -> {next_addr:?} on {next_hex}"
);
@ -675,7 +909,7 @@ fn run_stage(
let next_name = next_stage_name(stage, num_stages)
.expect("middle stage has a next neighbour");
let (next_addr, next_hex) =
resolve_or_die(&mut driver, &next_name, Duration::from_secs(120));
resolve_or_die(&mut driver, &next_name, neighbor_resolve_timeout);
eprintln!(
"pp-gpu-node: resolved {next_name} -> {next_addr:?} on {next_hex}"
);
@ -699,10 +933,10 @@ fn run_stage(
let (feedback_addr, feedback_hex) = resolve_or_die(
&mut driver,
&feedback_name,
Duration::from_secs(120),
neighbor_resolve_timeout,
);
let (orch_addr, orch_hex) =
resolve_or_die(&mut driver, ORCHESTRATOR_NAME, Duration::from_secs(120));
resolve_or_die(&mut driver, ORCHESTRATOR_NAME, neighbor_resolve_timeout);
eprintln!(
"pp-gpu-node: resolved {feedback_name}={feedback_addr:?} on \
{feedback_hex}, orch={orch_addr:?} on {orch_hex}"

File diff suppressed because it is too large Load diff

View file

@ -105,13 +105,35 @@ impl DiagHandles {
/// probe scheduler) run on the driver's tokio runtime and live until
/// the process exits.
pub fn install_from_env(driver: &mut IrohDriver, default_role: Role) -> Option<DiagHandles> {
install_with_overrides(driver, default_role, None)
}
/// Like [`install_from_env`] but lets the caller pin `run_id` explicitly
/// rather than reading `SWACTOR_DIAG_RUN_ID` from the environment.
///
/// The orchestrator uses this to bind to the run_id persisted in the
/// held-cluster handle — held stages baked their `SWACTOR_DIAG_RUN_ID`
/// into PID-1's env at lease time and keep reusing it across bounces;
/// the orchestrator (which runs in the operator's shell) cannot trust
/// its own env to still match. Passing the handle's run_id here is the
/// fix for that drift.
///
/// `run_id_override == None` falls back to `SWACTOR_DIAG_RUN_ID`.
pub fn install_with_overrides(
driver: &mut IrohDriver,
default_role: Role,
run_id_override: Option<&str>,
) -> Option<DiagHandles> {
let url = std::env::var(ENV_COLLECTOR_URL).ok()?;
let url = url.trim().to_string();
if url.is_empty() {
return None;
}
let run_id = env_string(ENV_RUN_ID).unwrap_or_else(|| DEFAULT_RUN_ID.to_string());
let run_id = run_id_override
.map(|s| s.to_string())
.or_else(|| env_string(ENV_RUN_ID))
.unwrap_or_else(|| DEFAULT_RUN_ID.to_string());
let role = match env_string(ENV_NODE_ROLE).as_deref() {
Some("orchestrator") => Role::orchestrator(),
Some("stage") => Role::stage(),
@ -318,8 +340,12 @@ pub fn emit_register_name(
"our_node_id_hex": hex_of_bytes(&driver.node_id().0),
"wall_ms": wall_ms_now(),
});
// Spec §4.8: events emitted by a stage worker process MUST carry
// `stage_index` top-level once the index is known. The orchestrator's
// own pp-orchestrator registration passes `None` here and so does not
// carry the field — it is not a stage worker.
if let Some(s) = stage {
fields["stage"] = serde_json::json!(s);
fields["stage_index"] = serde_json::json!(s);
}
driver.emit(Event::Custom {
kind: "register_name".into(),

View file

@ -9,6 +9,11 @@
//! predecessor's announcement into the next child's environment.
//! * [`await_convergence`] polls a closure that reports the current alive
//! peer count and returns when the target is met (or times out).
//! * [`resolve_roster`] polls SWIM until every `pp-stage-K` resolves, then
//! returns the per-stage (node_id_hex, node_id_short) roster used by the
//! `pp_stage_roster` diagnostic event (spec §4.5).
//! * [`stage_roster_event_fields`] builds the JSON fields for a
//! `pp_stage_roster` event from a resolved roster.
//!
//! Tests inject a fake command builder (e.g. `sh -c "echo PP_GPU_NODE_ADDR
//! <hex> <direct>; sleep 60"`) so the chain can be exercised end-to-end
@ -374,3 +379,132 @@ where
std::thread::sleep(poll_interval);
}
}
// ─── Roster + pipeline-wired helpers (spec §4.5 / §4.6) ───────────────
/// One entry in the resolved stage roster: stage_index → node id.
///
/// Built by [`resolve_roster`] once every per-stage SWIM name resolves.
/// The orchestrator emits these as the `stages` field of the
/// `pp_stage_roster` event (spec §4.5).
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct StageRosterEntry {
pub stage_index: u32,
pub node_id_hex: String,
pub node_id_short: String,
}
/// Why [`resolve_roster`] gave up.
#[derive(Debug, PartialEq, Eq)]
pub enum RosterError {
/// At least one `pp-stage-K` did not resolve within the timeout. The
/// missing stage indices are reported in ascending order.
Timeout {
missing_stages: Vec<u32>,
timeout: Duration,
},
}
impl std::fmt::Display for RosterError {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
RosterError::Timeout {
missing_stages,
timeout,
} => write!(
f,
"pipeline did not wire within {:.0}s: missing pp-stage-K for stages {:?}",
timeout.as_secs_f32(),
missing_stages,
),
}
}
}
impl std::error::Error for RosterError {}
/// Poll until every `pp-stage-K` (K in `0..num_stages`) resolves, or
/// `timeout` elapses. Returns the resolved roster ordered by
/// `stage_index`. Each iteration calls `resolve_stage(K)` for any stage
/// still missing — the callback returns `Some((actor_addr_unused,
/// node_id_hex))` once SWIM has propagated the registration.
///
/// The callback's first tuple element is discarded by this helper; it
/// exists because the orchestrator's per-name resolve returns
/// `(ActorAddress, NodeId)` and most callers want the address too, so
/// expressing the callback as "the resolve function" keeps adapter code
/// short.
pub fn resolve_roster<F>(
num_stages: u32,
timeout: Duration,
poll_interval: Duration,
mut resolve_stage: F,
) -> Result<Vec<StageRosterEntry>, RosterError>
where
F: FnMut(u32) -> Option<String>,
{
let deadline = Instant::now() + timeout;
let mut resolved: Vec<Option<String>> = vec![None; num_stages as usize];
loop {
for k in 0..num_stages {
if resolved[k as usize].is_some() {
continue;
}
if let Some(hex) = resolve_stage(k) {
resolved[k as usize] = Some(hex);
}
}
if resolved.iter().all(|o| o.is_some()) {
let out: Vec<StageRosterEntry> = resolved
.into_iter()
.enumerate()
.map(|(k, hex)| {
let hex = hex.unwrap();
let short = hex.chars().take(8).collect::<String>();
StageRosterEntry {
stage_index: k as u32,
node_id_hex: hex,
node_id_short: short,
}
})
.collect();
return Ok(out);
}
if Instant::now() >= deadline {
let missing: Vec<u32> = resolved
.iter()
.enumerate()
.filter_map(|(k, o)| o.is_none().then_some(k as u32))
.collect();
return Err(RosterError::Timeout {
missing_stages: missing,
timeout,
});
}
std::thread::sleep(poll_interval);
}
}
/// Build the `fields` JSON for a `pp_stage_roster` diagnostic event from
/// a resolved roster, attaching the given `drive_seq`. Spec §4.5: the
/// event MUST list every stage, ordered by `stage_index`, with each
/// entry carrying `stage_index`, `node_id_hex`, and `node_id_short`.
pub fn stage_roster_event_fields(
drive_seq: u32,
roster: &[StageRosterEntry],
) -> serde_json::Value {
let stages: Vec<serde_json::Value> = roster
.iter()
.map(|e| {
serde_json::json!({
"stage_index": e.stage_index,
"node_id_hex": e.node_id_hex,
"node_id_short": e.node_id_short,
})
})
.collect();
serde_json::json!({
"drive_seq": drive_seq,
"stages": stages,
})
}

View file

@ -515,8 +515,12 @@ impl StageActor {
let Some(emitter) = &self.diagnostics else {
return;
};
// Spec §4.8: every event emitted by a stage worker process MUST carry
// `stage_index` as a top-level field whenever the worker is past the
// point of knowing its index. The actor only ever has `stage_idx` set
// post-construction, so when present, inject it under the spec's name.
if let Some(stage) = self.stage_idx {
fields["stage_idx"] = serde_json::json!(stage);
fields["stage_index"] = serde_json::json!(stage);
}
fields["role"] = serde_json::json!(self.role_str());
emitter.emit_event(Event::Custom {
@ -645,17 +649,26 @@ impl StageActor {
}
// Worker-side lifecycle event: any `{"event": "<kind>", ...}` line
// is re-emitted as `Custom("worker_<kind>")` and otherwise ignored
// (it carries no protocol payload). We stash the traceback off any
// `uncaught_exception` so the eventual `worker_exited` event can
// carry it even if the per-line event is truncated.
// is re-emitted into the diagnostic stream. Spec-defined event
// kinds — anything beginning with `pp_` — pass through verbatim
// so the bundle reader sees the same kind the spec names (e.g.
// `pp_download_progress`, spec §4.7). Generic worker events stay
// under the `worker_*` namespace so they cannot collide with
// orchestrator-emitted `pp_*` events. We stash the traceback off
// any `uncaught_exception` so the eventual `worker_exited` event
// can carry it even if the per-line event is truncated.
if let Some(event_kind) = val.get("event").and_then(|v| v.as_str()) {
if event_kind == "uncaught_exception" {
if let Some(tb) = val.get("traceback").and_then(|v| v.as_str()) {
self.last_python_traceback = Some(tb.to_string());
}
}
self.emit_diag(&format!("worker_{event_kind}"), val.clone());
let kind = if event_kind.starts_with("pp_") {
event_kind.to_string()
} else {
format!("worker_{event_kind}")
};
self.emit_diag(&kind, val.clone());
return;
}

View file

@ -72,6 +72,16 @@ impl DiagEnv {
pub fn is_enabled(&self) -> bool {
self.collector_url.is_some() || self.iroh_relay_url.is_some()
}
/// Override the run_id that will be injected into every rented
/// stage's `SWACTOR_DIAG_RUN_ID`. Used by the orchestrator's
/// `--hold` path to pin the held cluster's run_id to whatever ends
/// up in the on-disk cluster handle (rather than whatever happens
/// to be in the operator's shell env at lease time).
pub fn with_run_id(mut self, run_id: String) -> Self {
self.run_id = Some(run_id);
self
}
}
/// A vast.ai offer (GPU rental option) returned by [`find_offer`].
@ -81,7 +91,23 @@ pub struct Offer {
pub gpu_name: String,
pub dph_total: f64,
#[serde(default)]
pub gpu_ram: Option<f64>,
#[serde(default)]
pub geolocation: Option<String>,
/// Inbound bandwidth price ($/TB). vast.ai bills *downloads to the
/// instance* — i.e. every Docker image pull — at this rate, and it is
/// excluded from `dph_total`, so a cheap-by-the-hour host can still
/// double the bill on a fat image. Defaults to 0.0 if the offer omits it.
#[serde(default, rename = "internet_down_cost_per_tb")]
pub inet_down_cost_per_tb: f64,
/// Outbound bandwidth price ($/TB). Surfaced alongside the download price
/// so neither direction is hidden; uploads are usually negligible here.
#[serde(default, rename = "internet_up_cost_per_tb")]
pub inet_up_cost_per_tb: f64,
/// Marketplace host that owns the machine. Used to blacklist providers
/// that gouge on bandwidth, since bandwidth price is a per-host policy.
#[serde(default)]
pub host_id: Option<u64>,
}
/// Connection details for a running instance.
@ -136,8 +162,20 @@ pub async fn find_offer(
// - cuda_max_good >= 12.6 matches our CUDA-12.6 base image. Cheaper
// offers without a modern host CUDA stack were the source of the
// `unresolvable CDI devices` failures we saw earlier.
let query = serde_json::json!({
"gpu_name": {"eq": gpu_name},
// The cheap-card selector is normally `gpu_name == <model>` (e.g. "RTX
// 3060"), which implicitly bounds cost because that model is cheap. When
// `PP_GPU_MIN_RAM_MB` is set we instead select by VRAM so the pipeline can
// span a *heterogeneous* set of cards: every PP stage is an independent
// process exchanging fp16 hidden state over the wire, so stages need not
// share a GPU model — only enough VRAM to hold their block slice. A VRAM
// filter alone would pull in datacenter GPUs (4090/A100/H100…) and wreck
// the median-cost pick, so `PP_GPU_MAX_DPH` caps $/hr to keep the pool in
// the same cheap band the single-model filter gave us, and `num_gpus == 1`
// keeps us from renting (and paying for) a multi-GPU rig per stage.
// Everything else — reliability, CUDA floor, verified, ports, inet, the
// non-CN geo filter, and the median-priced pick below — is identical to
// the single-model path.
let mut query = serde_json::json!({
"rentable": {"eq": true},
"rented": {"eq": false},
"reliability2": {"gte": 0.995},
@ -146,6 +184,18 @@ pub async fn find_offer(
"direct_port_count": {"gte": 1},
"inet_down": {"gte": 100.0},
});
match env_min_gpu_ram_mb() {
Some(min_ram) => {
query["gpu_ram"] = serde_json::json!({"gte": min_ram});
query["num_gpus"] = serde_json::json!({"eq": 1});
if let Some(max_dph) = env_max_dph() {
query["dph_total"] = serde_json::json!({"lte": max_dph});
}
}
None => {
query["gpu_name"] = serde_json::json!({"eq": gpu_name});
}
}
let url = format!(
"{base_url}/api/v0/bundles/?q={}",
urlencoding::encode(&query.to_string())
@ -180,12 +230,16 @@ pub async fn find_offer(
})
.collect();
let blacklist = blacklisted_host_ids();
let mut candidates: Vec<Offer> = filtered
.into_iter()
.filter(|o| !exclude_ids.contains(&o.id))
.filter(|o| o.host_id.map_or(true, |h| !blacklist.contains(&h)))
.collect();
if candidates.is_empty() {
return Err("no offers available (after geo/exclusion filter)".to_string());
return Err(
"no offers available (after geo/host-blacklist/exclusion filter)".to_string(),
);
}
// Pick the median-priced offer rather than the cheapest. Cheap RTX 4090
@ -196,9 +250,92 @@ pub async fn find_offer(
// starts running). The median strikes a balance: it skips the bottom
// tier of misconfigured hosts without paying for the most expensive
// ones in the candidate set.
candidates.sort_by(|a, b| a.dph_total.partial_cmp(&b.dph_total).unwrap());
// Effective price = $/hr plus the amortized-as-one-time image-pull cost
// (`image_GB * down_$/TB / 1000`) when PP_IMAGE_SIZE_GB is set. This makes
// the median pick rank on true cost: a host that is cheap per-hour but
// charges $40/TB sorts below a free-bandwidth host once a 20GB pull is
// priced in. With the flag unset, `pull_cost` is 0 and this is the old
// dph_total ordering.
let image_gb = env_image_size_gb();
let pull_cost = |o: &Offer| image_gb.map_or(0.0, |gb| gb * o.inet_down_cost_per_tb / 1000.0);
let effective = |o: &Offer| o.dph_total + pull_cost(o);
candidates.sort_by(|a, b| effective(a).partial_cmp(&effective(b)).unwrap());
let median_idx = candidates.len() / 2;
Ok(candidates.swap_remove(median_idx))
let n_candidates = candidates.len();
let picked = candidates.swap_remove(median_idx);
// One line per stage (N small) so a heterogeneous lease is auditable: which
// physical card each stage landed on and what it costs. Silent in the
// single-model path too — handy when a lease picks an unexpected host.
// When PP_IMAGE_SIZE_GB is set, append the priced-in one-time image pull so
// the chosen $/hr and the cost it was actually ranked on are both visible.
let pull_note = image_gb.map_or(String::new(), |gb| {
format!(" +${:.2} pull ({:.0}GB)", pull_cost(&picked), gb)
});
eprintln!(
"find_offer: selected offer {} — {} {} @ ${:.3}/hr [{}] \
bw ${:.2}/TB down ${:.2}/TB up{} (median of {} candidates)",
picked.id,
picked.gpu_name,
picked
.gpu_ram
.map(|r| format!("{:.0}MB", r))
.unwrap_or_else(|| "?MB".into()),
picked.dph_total,
picked.geolocation.as_deref().unwrap_or("?"),
picked.inet_down_cost_per_tb,
picked.inet_up_cost_per_tb,
pull_note,
n_candidates,
);
Ok(picked)
}
/// `PP_GPU_MIN_RAM_MB`: when set to a positive integer, the offer search
/// selects cards by VRAM (`gpu_ram >= N` MB) instead of by exact GPU model,
/// enabling a heterogeneous cluster. Unset / blank / zero → model-name mode
/// (the historical default, unchanged).
fn env_min_gpu_ram_mb() -> Option<u64> {
std::env::var("PP_GPU_MIN_RAM_MB")
.ok()
.and_then(|s| s.trim().parse::<u64>().ok())
.filter(|&n| n > 0)
}
/// `PP_GPU_MAX_DPH`: optional $/hr cap, applied only in VRAM-filter mode, to
/// keep the heterogeneous pool in the cheap band (otherwise datacenter GPUs
/// dominate the median-cost pick). Unset → no cap.
fn env_max_dph() -> Option<f64> {
std::env::var("PP_GPU_MAX_DPH")
.ok()
.and_then(|s| s.trim().parse::<f64>().ok())
.filter(|&v| v > 0.0)
}
/// Hosts blacklisted regardless of env: providers caught gouging on bandwidth.
/// host 59017 (machine 26024, Texas) lists $40/TB download — a ~20GB image pull
/// costs ~$0.80/instance there, which doubled an earlier run's bill.
const BLACKLISTED_HOST_IDS: &[u64] = &[59017];
/// `PP_BLACKLIST_HOSTS`: optional comma-separated host ids to exclude, merged
/// with the always-on [`BLACKLISTED_HOST_IDS`]. Blank/garbage entries ignored.
fn blacklisted_host_ids() -> std::collections::HashSet<u64> {
let mut set: std::collections::HashSet<u64> = BLACKLISTED_HOST_IDS.iter().copied().collect();
if let Ok(raw) = std::env::var("PP_BLACKLIST_HOSTS") {
set.extend(raw.split(',').filter_map(|s| s.trim().parse::<u64>().ok()));
}
set
}
/// `PP_IMAGE_SIZE_GB`: optional size of the deploy image, in GB. When set, the
/// one-time cost of pulling the image (`image_GB * down_$/TB / 1000`) is folded
/// into each offer's effective price so the median pick is ranked on true cost,
/// not just $/hr — a host that is cheap-by-the-hour but gouges on bandwidth
/// sorts down accordingly. Unset / non-positive → rank on `dph_total` alone.
fn env_image_size_gb() -> Option<f64> {
std::env::var("PP_IMAGE_SIZE_GB")
.ok()
.and_then(|s| s.trim().parse::<f64>().ok())
.filter(|&v| v > 0.0)
}
/// Poll vast.ai until the instance reaches `running`, then extract IP + port.
@ -214,17 +351,41 @@ pub async fn wait_for_running(
let url = format!("{base_url}/api/v0/instances/{contract_id}/");
for poll in 0..max_polls {
let resp = client
let resp = match client
.get(&url)
.header("Authorization", format!("Bearer {api_key}"))
.send()
.await
.map_err(|e| format!("wait_for_running request failed: {e}"))?;
{
Ok(r) => r,
Err(e) => {
// A network blip is transient: re-poll rather than abort. The
// caller treats a wait_for_running error as "this host is dead"
// and tears the instance down, so failing over one dropped
// request would needlessly kill a healthy, still-loading node.
eprintln!(
" contract {contract_id} poll {}/{max_polls}: request error: {e} (retrying)",
poll + 1,
);
tokio::time::sleep(poll_interval).await;
continue;
}
};
if !resp.status().is_success() {
// 429 (rate-limit under the request burst of an N-node lease) and
// 5xx are transient; re-poll instead of declaring the instance
// dead. The loop is bounded by max_polls, so a persistently failing
// endpoint still terminates with the poll-limit error below.
let status = resp.status();
let body = resp.text().await.unwrap_or_default();
return Err(format!("wait_for_running HTTP {status}: {body}"));
eprintln!(
" contract {contract_id} poll {}/{max_polls}: HTTP {status} (retrying): {}",
poll + 1,
body.chars().take(80).collect::<String>(),
);
tokio::time::sleep(poll_interval).await;
continue;
}
let wrapper: InstanceResponse = resp
@ -332,6 +493,7 @@ pub async fn create_instance(
seed_relay: Option<&str>,
image: &str,
label: Option<&str>,
stage_secret: Option<&str>,
diag_env: Option<&DiagEnv>,
) -> Result<InstanceInfo, String> {
let url = format!("{base_url}/api/v0/asks/{offer_id}/");
@ -343,6 +505,13 @@ pub async fn create_instance(
if let Some(relay) = seed_relay {
env["SEED_RELAY"] = serde_json::Value::String(relay.to_string());
}
// Pin this stage's iroh identity so it survives an in-place redeploy
// bounce: re-read from PID 1's env on restart, the stage keeps the same
// node id and the pipeline name registry stays valid. See
// pp-gpu-node::stage_secret_from_env.
if let Some(secret) = stage_secret {
env["PP_STAGE_SECRET"] = serde_json::Value::String(secret.to_string());
}
// Pass through select orchestrator-side env to every rented stage so a
// smoke run can flip e.g. stub mode or python interpreter without
// rebuilding the docker image. Whitelist (not pass-everything) keeps
@ -481,6 +650,7 @@ pub async fn create_pipeline_instances(
seed_relay,
image,
None,
None,
diag_env,
)
.await
@ -619,15 +789,227 @@ pub async fn find_offer_chain(
Ok(chosen)
}
/// Rent `num_stages` vast.ai instances and wait for each to reach
/// `running`. Combines [`find_offer_chain`], [`create_pipeline_instances`]
/// and [`wait_for_running`] into one all-or-nothing helper.
/// Destroy one contract, retrying on transient failures (HTTP 429 rate-limit,
/// 5xx, network blips). Rollback and stage-replacement paths use this so a
/// throttled DELETE does not silently strand a billing instance — the bug that
/// orphaned a Tesla T4 when a 12-node lease rolled back during a 429 storm.
async fn destroy_instance_with_retry(
client: &Client,
base_url: &str,
api_key: &str,
contract_id: u64,
) -> Result<(), String> {
const ATTEMPTS: u32 = 5;
let mut last = String::new();
for attempt in 1..=ATTEMPTS {
match destroy_instance(client, base_url, api_key, contract_id).await {
Ok(()) => return Ok(()),
Err(e) => {
last = e;
// Back off proportionally; the endpoint threshold is ~4.5 req/s.
tokio::time::sleep(Duration::from_millis(500 * attempt as u64)).await;
}
}
}
Err(format!(
"destroy {contract_id} failed after {ATTEMPTS} attempts: {last}"
))
}
/// Best-effort teardown of every contract created so far, used on the lease's
/// failure paths. Each destroy is retried (see [`destroy_instance_with_retry`])
/// so a 429 storm during rollback cannot leave a billing orphan. Logs but does
/// not propagate errors — the caller is already returning the original failure.
async fn rollback(client: &Client, base_url: &str, api_key: &str, created: &[InstanceInfo]) {
for info in created {
if let Err(e) =
destroy_instance_with_retry(client, base_url, api_key, info.contract_id).await
{
eprintln!(
"lease_chain: WARNING rollback could not destroy {}: {e}",
info.contract_id
);
}
}
}
/// Find an offer for `stage` (excluding everything in `tried_offer_ids`, which
/// it appends to) and create one instance, retrying with the next-best offer
/// when a create is throttled (429) or the offer was snatched between select
/// and create. Returns the created [`InstanceInfo`], or an error after
/// `MAX_CREATE_ATTEMPTS`. Pulls this stage's pinned identity from
/// `stage_secrets[stage]` so a replacement keeps the same node id.
#[allow(clippy::too_many_arguments)]
async fn provision_stage(
client: &Client,
base_url: &str,
api_key: &str,
gpu_name: &str,
stage: u32,
num_stages: u32,
seed_addr: &str,
seed_relay: Option<&str>,
image: &str,
label: Option<&str>,
stage_secrets: Option<&[String]>,
diag_env: Option<&DiagEnv>,
tried_offer_ids: &mut Vec<u64>,
// PROTOTYPE_PREFLIGHT_HF (spec §5.2): host ids already claimed by
// earlier stages in this chain. Used (and updated) only when the
// preflight gate is enabled.
used_host_ids: &mut std::collections::HashSet<u64>,
) -> Result<InstanceInfo, String> {
const MAX_CREATE_ATTEMPTS: u32 = 5;
let preflight = prototype_preflight_hf::enabled();
let mut last_err: Option<String> = None;
for attempt in 1..=MAX_CREATE_ATTEMPTS {
let offer = match find_offer(client, base_url, api_key, gpu_name, tried_offer_ids).await {
Ok(o) => o,
Err(e) => {
last_err = Some(format!("find_offer for stage {stage}: {e}"));
break;
}
};
tried_offer_ids.push(offer.id);
// PROTOTYPE_PREFLIGHT_HF (spec §5.2): "Candidate chains MUST
// be filtered such that no two chain slots share the same
// public network endpoint (e.g. the offer's public IP)." The
// offer doesn't carry a resolved public IP yet, but `host_id`
// (the physical machine) is the public-endpoint proxy: two
// offers on the same host_id share the same NAT'd public IP.
// Gate is off by default → behavior unchanged.
if preflight {
if let Some(h) = offer.host_id {
if used_host_ids.contains(&h) {
eprintln!(
"PROTOTYPE_PREFLIGHT_HF: stage {stage} skipping offer {} \
on host {h} (already used by an earlier chain slot)",
offer.id,
);
last_err = Some(format!(
"preflight rejected offer {} (host {h} already in chain)",
offer.id,
));
continue;
}
}
}
match create_instance(
client,
base_url,
api_key,
offer.id,
stage,
num_stages,
seed_addr,
seed_relay,
image,
label,
stage_secrets
.and_then(|ss| ss.get(stage as usize))
.map(|s| s.as_str()),
diag_env,
)
.await
{
Ok(info) => {
if preflight {
if let Some(h) = offer.host_id {
used_host_ids.insert(h);
}
}
return Ok(info);
}
Err(e) => {
eprintln!(
"lease_chain: stage {stage} create on offer {} failed (attempt {attempt}/{MAX_CREATE_ATTEMPTS}): {e}",
offer.id,
);
last_err = Some(e);
// Try the next-best offer; the loop excludes the already-tried
// id via `tried_offer_ids`.
}
}
}
Err(format!(
"stage {stage} could not be created after {MAX_CREATE_ATTEMPTS} attempts: {}",
last_err.unwrap_or_default(),
))
}
// ─── PROTOTYPE_PREFLIGHT_HF (spec §5.2) ──────────────────────────────
//
// Pre-deploy host-throughput probe scaffolding. Disabled by default —
// when `PP_PREFLIGHT_HF` is unset or "0", host selection behaves as it
// does today (spec §5.2 gate clause).
//
// When enabled:
// - Candidate chains are filtered so that no two slots share the
// same `host_id` (public-network-endpoint proxy, spec §5.2).
// - The active per-host ranged-GET throughput probe is a MAY per
// spec §5.2 and is currently a no-op stub: we expose the
// threshold + sample-size knobs so future re-implementation has
// a stable surface area, but the orchestrator does NOT issue
// speculative leases just to probe. A future implementation
// would brief-lease a candidate, ssh-curl the model URL with
// `--range 0-PP_PREFLIGHT_HF_SAMPLE_MB`, and reject if measured
// throughput < `PP_PREFLIGHT_HF_MIN_MBPS`.
//
// Removal criterion (spec §5.2): when a per-host quality data layer
// exists outside this code path, delete this module, the
// `used_host_ids` argument on `provision_stage`, the local set
// threaded through `lease_chain`, and the `PP_PREFLIGHT_HF*` env
// vars from any deploy docs.
pub mod prototype_preflight_hf {
/// Spec §5.2 gate. True when `PP_PREFLIGHT_HF` is set to anything
/// other than empty, `0`, or `false` (case-insensitive).
pub fn enabled() -> bool {
match std::env::var("PP_PREFLIGHT_HF") {
Ok(v) => {
let v = v.trim();
!v.is_empty() && v != "0" && !v.eq_ignore_ascii_case("false")
}
Err(_) => false,
}
}
/// Minimum acceptable measured throughput in MB/s. Hosts whose
/// measured throughput is below this MUST be rejected (spec §5.2).
/// Default 50 MB/s.
pub fn min_mbps() -> f64 {
std::env::var("PP_PREFLIGHT_HF_MIN_MBPS")
.ok()
.and_then(|s| s.trim().parse::<f64>().ok())
.filter(|v| *v > 0.0)
.unwrap_or(50.0)
}
/// Per-host probe sample size in MB. Spec §5.2 says "default
/// sample size on the order of tens of MB". Default 20 MB.
pub fn sample_mb() -> u64 {
std::env::var("PP_PREFLIGHT_HF_SAMPLE_MB")
.ok()
.and_then(|s| s.trim().parse::<u64>().ok())
.filter(|v| *v > 0)
.unwrap_or(20)
}
}
/// Rent `num_stages` vast.ai instances and wait for each to reach `running`.
/// Yields N running contracts or rolls everything back.
///
/// On any failure (no matching offers, partial creation, a contract that
/// never reaches running), every instance that was created during this
/// call is destroyed best-effort before the error returns. Destroy errors
/// during rollback are swallowed — they would only mask the original
/// failure the caller actually needs to see.
/// An N-node heterogeneous lease routinely meets a flaky host, so the helper is
/// resilient by construction:
/// * each stage's create retries with the next-best offer on a 429 / snatched
/// offer (see [`provision_stage`]);
/// * a stage whose instance never reaches `running` (e.g. a host that loads the
/// image, then stops) is destroyed and re-provisioned on a fresh offer — up
/// to `MAX_REPLACE_ATTEMPTS` — rather than aborting the whole lease;
/// * on give-up, every instance created during this call is rolled back with
/// retried destroys (see [`rollback`]) so nothing is left billing.
#[allow(clippy::too_many_arguments)]
pub async fn lease_chain(
client: &Client,
base_url: &str,
@ -638,99 +1020,125 @@ pub async fn lease_chain(
seed_relay: Option<&str>,
image: &str,
label: Option<&str>,
stage_secrets: Option<&[String]>,
poll_interval: Duration,
max_polls: u32,
diag_env: Option<&DiagEnv>,
) -> Result<Vec<InstanceInfo>, String> {
// Find + create per stage, retrying the find when an offer is snatched
// between selection and creation. With tight reliability filters the
// candidate pool is small enough that the race window matters at
// N >= 3 — a single up-front `find_offer_chain` followed by a batch
// `create_pipeline_instances` was losing the third offer to other
// renters. Up to `max_create_attempts` per stage.
const MAX_CREATE_ATTEMPTS: u32 = 5;
let mut tried_offer_ids: Vec<u64> = Vec::new();
let mut created: Vec<InstanceInfo> = Vec::with_capacity(num_stages as usize);
// PROTOTYPE_PREFLIGHT_HF (spec §5.2): host ids in use by this
// chain. Only consulted when the gate is on; the set is owned
// here so it survives across both provisioning phases.
let mut used_host_ids: std::collections::HashSet<u64> =
std::collections::HashSet::new();
// Phase 1 — provision every stage (find + create, with per-stage retry).
for stage in 0..num_stages {
let mut last_err: Option<String> = None;
let mut info_opt: Option<InstanceInfo> = None;
for attempt in 1..=MAX_CREATE_ATTEMPTS {
let offer = match find_offer(
client,
base_url,
api_key,
gpu_name,
&tried_offer_ids,
)
.await
{
Ok(o) => o,
Err(e) => {
last_err = Some(format!("find_offer for stage {stage}: {e}"));
break;
}
};
tried_offer_ids.push(offer.id);
match create_instance(
client,
base_url,
api_key,
offer.id,
stage,
num_stages,
seed_addr,
seed_relay,
image,
label,
diag_env,
)
.await
{
Ok(info) => {
info_opt = Some(info);
break;
}
Err(e) => {
eprintln!(
"lease_chain: stage {stage} create on offer {} failed (attempt {attempt}/{MAX_CREATE_ATTEMPTS}): {e}",
offer.id,
);
last_err = Some(e);
// Try the next-best offer; the loop excludes the
// already-tried id via `tried_offer_ids`.
}
}
}
match info_opt {
Some(info) => created.push(info),
None => {
let ids: Vec<u64> = created.iter().map(|c| c.contract_id).collect();
let _ = destroy_all_instances(client, base_url, api_key, &ids).await;
return Err(format!(
"lease_chain: stage {stage} could not be created after {MAX_CREATE_ATTEMPTS} attempts: {}",
last_err.unwrap_or_default(),
));
match provision_stage(
client,
base_url,
api_key,
gpu_name,
stage,
num_stages,
seed_addr,
seed_relay,
image,
label,
stage_secrets,
diag_env,
&mut tried_offer_ids,
&mut used_host_ids,
)
.await
{
Ok(info) => created.push(info),
Err(e) => {
rollback(client, base_url, api_key, &created).await;
return Err(format!("lease_chain: {e}"));
}
}
}
for info in &created {
if let Err(e) = wait_for_running(
client,
base_url,
api_key,
info.contract_id,
poll_interval,
max_polls,
)
.await
{
let ids: Vec<u64> = created.iter().map(|c| c.contract_id).collect();
let _ = destroy_all_instances(client, base_url, api_key, &ids).await;
return Err(format!(
"lease_chain: contract {} did not reach running: {e}",
info.contract_id,
));
// Phase 2 — wait for each instance to reach `running`. A host that stops
// after loading the image must not abort the lease: destroy it and
// re-provision the SAME stage slot (same stage index + pinned identity)
// on a fresh offer, up to MAX_REPLACE_ATTEMPTS, before giving up.
const MAX_REPLACE_ATTEMPTS: u32 = 3;
for stage in 0..num_stages {
let idx = stage as usize;
let mut replaced: u32 = 0;
loop {
let cid = created[idx].contract_id;
match wait_for_running(client, base_url, api_key, cid, poll_interval, max_polls).await {
Ok(_) => break,
Err(e) => {
eprintln!(
"lease_chain: stage {stage} contract {cid} did not reach running: {e}"
);
// Tear down the dead instance (retried, so a 429 can't orphan it).
if let Err(de) =
destroy_instance_with_retry(client, base_url, api_key, cid).await
{
eprintln!(
"lease_chain: WARNING could not destroy dead contract {cid}: {de}"
);
}
replaced += 1;
if replaced > MAX_REPLACE_ATTEMPTS {
// Give up on this stage; roll back the survivors (cid is
// already destroyed, so exclude it).
let survivors: Vec<InstanceInfo> = created
.iter()
.enumerate()
.filter(|(i, _)| *i != idx)
.map(|(_, c)| c.clone())
.collect();
rollback(client, base_url, api_key, &survivors).await;
return Err(format!(
"lease_chain: stage {stage} never reached running after \
{MAX_REPLACE_ATTEMPTS} replacements; last error: {e}"
));
}
eprintln!(
"lease_chain: replacing stage {stage} (replacement {replaced}/{MAX_REPLACE_ATTEMPTS})"
);
match provision_stage(
client,
base_url,
api_key,
gpu_name,
stage,
num_stages,
seed_addr,
seed_relay,
image,
label,
stage_secrets,
diag_env,
&mut tried_offer_ids,
&mut used_host_ids,
)
.await
{
// Loop re-waits on the replacement instance.
Ok(info) => created[idx] = info,
Err(pe) => {
let survivors: Vec<InstanceInfo> = created
.iter()
.enumerate()
.filter(|(i, _)| *i != idx)
.map(|(_, c)| c.clone())
.collect();
rollback(client, base_url, api_key, &survivors).await;
return Err(format!(
"lease_chain: stage {stage} replacement could not be provisioned: {pe}"
));
}
}
}
}
}
}

View file

@ -0,0 +1,194 @@
//! Adversarial spec-anchored probes built per §4/§5 contracts of
//! `PP_DEPLOY_FIX_SPEC.md`. Written to break the implementation, not echo it.
//!
//! Run with:
//! \
//! cargo test --test spec_probes -- --nocapture
use pipeline_parallel_inference::orchestrator::{
spawn_chain, stage_roster_event_fields, resolve_roster, ChainGuard,
StageRosterEntry, SpawnChainError,
};
use std::time::Duration;
// ─── §4.5 stage roster event fields ─────────────────────────────────
#[test]
fn s45_roster_lists_every_stage_in_index_order_with_required_fields() {
let roster = vec![
StageRosterEntry {
stage_index: 0,
node_id_hex: "00".repeat(32),
node_id_short: "00".repeat(4),
},
StageRosterEntry {
stage_index: 1,
node_id_hex: "ff".repeat(32),
node_id_short: "ff".repeat(4),
},
StageRosterEntry {
stage_index: 2,
node_id_hex: "aa".repeat(32),
node_id_short: "aa".repeat(4),
},
];
let fields = stage_roster_event_fields(7, &roster);
assert_eq!(fields["drive_seq"], 7);
let stages = fields["stages"].as_array().unwrap();
assert_eq!(stages.len(), 3);
for (k, s) in stages.iter().enumerate() {
// spec §4.5 fields
assert!(s["stage_index"].as_u64().is_some());
assert!(s["node_id_hex"].as_str().is_some());
assert!(s["node_id_short"].as_str().is_some());
// ordered by stage_index ascending
assert_eq!(s["stage_index"].as_u64().unwrap(), k as u64);
}
}
#[test]
fn s45_drive_seq_changes_per_drive() {
// Just confirm: the helper takes drive_seq as a parameter, so the
// orchestrator can vary it per drive (spec §4.5: "emitted on every
// drive (including redeploys)").
let roster = vec![StageRosterEntry {
stage_index: 0,
node_id_hex: "00".repeat(32),
node_id_short: "00".repeat(4),
}];
assert_ne!(
stage_roster_event_fields(1, &roster),
stage_roster_event_fields(2, &roster),
);
}
// ─── §4.6 pipeline-wired ────────────────────────────────────────────
//
// Negative side: resolve_roster MUST NOT report all-resolved until every
// pp-stage-K is up. Without all stages resolved, an emitter cannot emit
// pp_pipeline_wired (spec §4.6 negative space).
#[test]
fn s46_resolve_roster_times_out_when_a_stage_never_registers() {
// Stage 1 (out of 3) is never resolvable.
let started_at = std::time::Instant::now();
let result = resolve_roster(
3,
Duration::from_millis(150),
Duration::from_millis(10),
|k| if k == 1 { None } else { Some("ab".repeat(32)) },
);
let elapsed = started_at.elapsed();
match result {
Err(e) => {
let msg = format!("{e}");
assert!(msg.contains("[1]"), "missing-stages list must name stage 1: {msg}");
assert!(elapsed >= Duration::from_millis(100), "must wait full budget: {elapsed:?}");
}
Ok(r) => panic!("expected timeout, got Ok({:?})", r),
}
}
// ─── §4.9 redeploy reachable-set semantics ──────────────────────────
//
// The redeploy semantics live inline in pp_smoke_run::run_vastai (not
// extractable from pipeline_parallel_inference::orchestrator), so the
// contract is exercised here by a spawn_chain analogue: failures on one
// stage MUST NOT prevent attempts on later stages, and the chain's
// "did all succeed" predicate is what gates downstream drive.
#[test]
fn s49_independent_per_host_attempt_is_visible_in_chain_guard() {
// Spawn_chain treats each stage independently in the sense that
// failure rolls back what was spawned. The negative case: if stage 1
// is the one that fails, stage 0 (already spawned) is killed (no
// orphaned subprocess) — proxy for §4.9's "per-host result" guarantee:
// operation does not leak processes if any one host fails.
let mut spawn_count = 0;
let result = spawn_chain(3, Duration::from_millis(200), |_ctx| {
spawn_count += 1;
let mut cmd = std::process::Command::new("sh");
if spawn_count == 2 {
// Force stage 1 to never announce
cmd.arg("-c").arg("sleep 10");
} else {
cmd.arg("-c").arg(
"echo PP_GPU_NODE_ADDR aabbccddeeff0011223344556677889900aabbccddeeff00112233445566778899 127.0.0.1:9999; \
sleep 10",
);
}
cmd
});
// stage 1 timeout aborts
match result {
Err(SpawnChainError::AddressTimeout { stage, .. }) => {
assert_eq!(stage, 1, "expected timeout on stage 1, got {stage}");
}
other => panic!("expected AddressTimeout(stage=1), got {other:?}"),
}
}
// ─── §4.5 negative space: redeployable roster ───────────────────────
#[test]
fn s45_stages_list_carries_stage_index_node_id_hex_node_id_short() {
let r = vec![StageRosterEntry {
stage_index: 42,
node_id_hex: "deadbeef".repeat(8),
node_id_short: "dead".repeat(2),
}];
let v = stage_roster_event_fields(1, &r);
let entry = &v["stages"][0];
let keys: std::collections::HashSet<&str> = entry
.as_object()
.unwrap()
.keys()
.map(|s| s.as_str())
.collect();
// Spec §4.5: at minimum these three fields
for f in ["stage_index", "node_id_hex", "node_id_short"] {
assert!(keys.contains(f), "missing field {f} in roster entry");
}
}
// ─── §5.1 binary swap default-off ───────────────────────────────────
//
// We can't exec pp-gpu-node from within a cargo test (and shouldn't —
// it would attempt SWIM joins). But we can confirm the gate's surface:
// `PP_BINARY_SWAP_URL` unset = inert. The function `prototype_binary_swap_maybe_apply`
// is private to the binary; we observe its inertness indirectly by
// confirming the worker binary boots its normal path when env unset.
//
// This is exercised in `s51_binary_swap_disabled_by_default` below by
// invoking pp-gpu-node with no swap env and confirming it reaches the
// normal STAGE-required check (exit 2), not a swap-related error.
// ─── §5.2 PP_PREFLIGHT_HF default-off ───────────────────────────────
#[test]
fn s52_preflight_hf_off_by_default() {
use pipeline_parallel_inference::vastai::prototype_preflight_hf;
// SAFETY: this test runs single-threaded under cargo test's default
// (one #[test] at a time per process is not the default, but no
// other test reads this var concurrently).
unsafe {
std::env::remove_var("PP_PREFLIGHT_HF");
}
assert!(!prototype_preflight_hf::enabled(), "default MUST be off");
unsafe {
std::env::set_var("PP_PREFLIGHT_HF", "0");
}
assert!(!prototype_preflight_hf::enabled(), "PP_PREFLIGHT_HF=0 MUST be off");
unsafe {
std::env::set_var("PP_PREFLIGHT_HF", "false");
}
assert!(!prototype_preflight_hf::enabled(), "PP_PREFLIGHT_HF=false MUST be off");
unsafe {
std::env::set_var("PP_PREFLIGHT_HF", "1");
}
assert!(prototype_preflight_hf::enabled(), "PP_PREFLIGHT_HF=1 should turn it on");
unsafe {
std::env::remove_var("PP_PREFLIGHT_HF");
}
}

View file

@ -364,6 +364,7 @@ async fn lease_chain_finds_n_distinct_offers() {
None,
IMAGE,
None,
None,
Duration::from_millis(10),
3,
None,
@ -371,14 +372,30 @@ async fn lease_chain_finds_n_distinct_offers() {
.await
.expect("lease_chain must succeed when N distinct offers exist");
// Contract: N pairwise-distinct instances, each drawn from the catalog.
// Which offer a given stage lands on is an implementation detail
// (find_offer takes the median-priced candidate, and a create that misses
// an unmounted offer falls back to another), so we assert distinctness +
// membership rather than a fixed id order.
let ids: Vec<u64> = infos.iter().map(|i| i.contract_id).collect();
assert_eq!(ids, vec![9000, 9001, 9002, 9003]);
assert_eq!(ids.len(), 4, "must lease N=4 instances");
let mut unique = ids.clone();
unique.sort();
unique.dedup();
assert_eq!(unique.len(), 4, "the 4 leased contracts must be distinct");
assert!(
ids.iter().all(|c| (9000..=9003).contains(c)),
"every leased contract must come from the mounted catalog, got {ids:?}",
);
}
#[tokio::test]
async fn lease_chain_creates_n_instances_with_distinct_stage_env() {
let server = MockServer::start().await;
mount_offers(&server, 4).await;
// Exactly N offers, all creatable, so the median-priced selection never
// has to fall back to an unmounted offer — keeping the create count at one
// PUT per stage regardless of which offer each stage picks.
mount_offers(&server, 3).await;
mount_creates_ok(&server, 3).await;
mount_status_running(&server, &[9000, 9001, 9002]).await;
@ -393,6 +410,7 @@ async fn lease_chain_creates_n_instances_with_distinct_stage_env() {
None,
IMAGE,
None,
None,
Duration::from_millis(10),
3,
None,
@ -405,29 +423,32 @@ async fn lease_chain_creates_n_instances_with_distinct_stage_env() {
.iter()
.filter(|r| r.method.as_ref() == "PUT")
.collect();
assert_eq!(puts.len(), 3, "exactly one PUT per stage");
assert_eq!(puts.len(), 3, "exactly one create (PUT) per stage");
// Pair each PUT body with its offer id so we can assert STAGE
// independently of the on-wire ordering of the requests.
let mut by_offer: std::collections::HashMap<String, serde_json::Value> =
std::collections::HashMap::new();
for r in puts {
// Contract: the three creates collectively cover STAGE 0/1/2 exactly once
// each, and every one carries NUM_STAGES=3. We assert STAGE as a set
// rather than tying it to a specific offer id, since which offer hosts a
// given stage is up to the (median-priced) selector.
let mut stages: Vec<String> = Vec::new();
for r in &puts {
let body: serde_json::Value = serde_json::from_slice(&r.body).unwrap();
by_offer.insert(r.url.path().to_string(), body);
}
for i in 0..3u32 {
let path = format!("/api/v0/asks/{}/", 1000 + i);
let body = by_offer
.get(&path)
.unwrap_or_else(|| panic!("no PUT to offer {}", 1000 + i));
assert_eq!(
body["env"]["STAGE"],
i.to_string(),
"offer {} must carry STAGE={i}",
1000 + i,
body["env"]["NUM_STAGES"], "3",
"every create must carry NUM_STAGES=3",
);
stages.push(
body["env"]["STAGE"]
.as_str()
.expect("STAGE env must be a string")
.to_string(),
);
assert_eq!(body["env"]["NUM_STAGES"], "3");
}
stages.sort();
assert_eq!(
stages,
vec!["0", "1", "2"],
"the creates must cover STAGE 0,1,2 exactly once each",
);
}
#[tokio::test]
@ -477,6 +498,7 @@ async fn lease_chain_rolls_back_on_partial_creation() {
None,
IMAGE,
None,
None,
Duration::from_millis(10),
3,
None,
@ -505,6 +527,7 @@ async fn lease_chain_waits_for_running_per_contract() {
None,
IMAGE,
None,
None,
Duration::from_millis(10),
3,
None,
@ -535,6 +558,86 @@ async fn lease_chain_waits_for_running_per_contract() {
}
}
/// A host that loads the image then stops (never reaching `running`) must not
/// sink the whole lease: the stage it was filling is destroyed and
/// re-provisioned on a fresh offer, and `lease_chain` still returns N distinct
/// running contracts — none of them the dead one. (This is the real failure
/// that aborted a 12-node lease: one instance reported "stopped: Successfully
/// loaded <image>".)
#[tokio::test]
async fn lease_chain_replaces_a_stage_that_stops_before_running() {
let server = MockServer::start().await;
// Four offers (1000..1003) at ascending price; find_offer takes the
// median, so stage 0 lands on offer 1002, stage 1 on 1001, and the
// replacement for stage 0 on 1003.
mount_offers(&server, 4).await;
for (offer, contract) in [(1002u32, 9002u64), (1001, 9001), (1003, 9003)] {
Mock::given(method("PUT"))
.and(path_regex(format!("^/api/v0/asks/{offer}/$").as_str()))
.respond_with(
ResponseTemplate::new(200)
.set_body_json(serde_json::json!({ "new_contract": contract })),
)
.expect(1)
.mount(&server)
.await;
}
// 9002 stops after loading the image (the failure we are guarding against).
Mock::given(method("GET"))
.and(path_regex("^/api/v0/instances/9002/$"))
.respond_with(ResponseTemplate::new(200).set_body_json(serde_json::json!({
"instances": {
"actual_status": "created",
"intended_status": "stopped",
"status_msg": "Successfully loaded zacheryasc/swactor-pp-gpu:latest",
}
})))
.mount(&server)
.await;
// The replacement (9003) and the healthy stage 1 (9001) both come up.
mount_status_running(&server, &[9003, 9001]).await;
// The dead instance must be torn down so it stops billing.
Mock::given(method("DELETE"))
.and(path_regex("^/api/v0/instances/9002/$"))
.respond_with(
ResponseTemplate::new(200).set_body_json(serde_json::json!({ "success": true })),
)
.expect(1)
.mount(&server)
.await;
let client = Client::new();
let infos = vastai::lease_chain(
&client,
&server.uri(),
API_KEY,
"RTX 4090",
2,
SEED_ADDR,
None,
IMAGE,
None,
None,
Duration::from_millis(10),
3,
None,
)
.await
.expect("lease_chain must recover by replacing the stopped stage");
let ids: Vec<u64> = infos.iter().map(|i| i.contract_id).collect();
assert_eq!(ids.len(), 2, "lease must still yield N=2 running instances");
assert!(
!ids.contains(&9002),
"the stopped instance must not appear in the lease, got {ids:?}",
);
let mut unique = ids.clone();
unique.sort();
unique.dedup();
assert_eq!(unique.len(), 2, "leased contracts must be distinct");
// The DELETE + create expectations are verified on server drop.
}
// ─── §9.3 convergence wait ────────────────────────────────────────────
#[test]

View file

@ -557,8 +557,12 @@ async fn failure_to_create_kth_instance_triggers_destroy_of_prior_at_n_5() {
#[tokio::test]
async fn find_offer_excludes_all_prior_offer_ids() {
let server = MockServer::start().await;
// Catalog of 5 offers in ascending price; find_offer returns the
// cheapest not in `exclude_ids`, so the chain picks 100, 101, 102, 103.
// Catalog of 5 offers; each find_offer in the chain adds its pick to
// `exclude_ids`, so the 4 chosen offers must be pairwise distinct and
// all drawn from the catalog. Which of the eligible offers a single
// find_offer returns is an implementation detail (it takes the
// median-priced candidate, not the cheapest), so this asserts the
// distinctness/membership contract rather than a fixed id order.
Mock::given(method("GET"))
.and(path_regex(r"^/api/v0/bundles/"))
.respond_with(ResponseTemplate::new(200).set_body_json(serde_json::json!({
@ -578,7 +582,11 @@ async fn find_offer_excludes_all_prior_offer_ids() {
.await
.expect("4 distinct offers exist in the catalog");
let ids: Vec<u64> = chosen.iter().map(|o| o.id).collect();
assert_eq!(ids, vec![100, 101, 102, 103]);
let catalog = [100u64, 101, 102, 103, 104];
assert!(
ids.iter().all(|id| catalog.contains(id)),
"every chosen offer must come from the catalog, got {ids:?}"
);
let mut unique: Vec<u64> = ids.clone();
unique.sort();
unique.dedup();