fix(mnemopi): bounded embed worker IPC and reap on timeout

Embed-worker init/embed requests awaited the reply with no timeout, so a
wedged fastembed/onnxruntime runtime blocked the turn memory recall or the
shutdown consolidation forever, hanging headless -p/--mode json runs and
leaving __omp_worker_mnemopi_embed unreaped. The #5753 fix only bounded the
dispose-time consolidate await, not the embed IPC beneath it.

Bound every request with an unref-ed timeout; on expiry fail the request
and SIGKILL-reap the worker so the next call respawns a fresh child.

Fixes #7352
This commit is contained in:
roboomp
2026-08-02 05:33:11 +00:00
parent 06343fef42
commit a4987ba518
3 changed files with 193 additions and 3 deletions
+4
View File
@@ -2,6 +2,10 @@
## [Unreleased]
### Fixed
- Fixed headless `-p` / `--mode json` runs with `memory.backend: mnemopi` hanging after a completed turn and leaving `__omp_worker_mnemopi_embed` unreaped when the embed worker's fastembed/onnxruntime runtime wedged. Embed-worker IPC requests (`init`/`embed`) were unbounded, so a stuck native runtime blocked the turn's memory recall or the shutdown consolidation forever; requests are now bounded and the wedged worker is reaped on timeout so the next call respawns a fresh child (regression of [#5753](https://github.com/can1357/oh-my-pi/issues/5753); [#7352](https://github.com/can1357/oh-my-pi/issues/7352)).
## [17.2.4] - 2026-08-01
### Added
@@ -84,6 +84,21 @@ export interface MnemopiSubprocessEmbeddingModel {
embed(texts: string[], batchSize?: number): AsyncIterable<number[][]>;
}
/**
* Upper bound on how long a single embed-worker IPC round-trip (init or embed)
* may block before the worker is treated as wedged. fastembed's steady-state
* embed and even a cold model load settle well within this; a longer stall
* means a hung native runtime (issue #4792) that would otherwise pin whatever
* awaits the embed — a turn's memory recall or the headless shutdown
* consolidation — indefinitely, leaving the process alive with an unreaped
* `__omp_worker_mnemopi_embed` child (issue #7352). On expiry the request fails
* and the worker is SIGKILL-reaped so the next request respawns a fresh one.
*/
const EMBED_REQUEST_TIMEOUT_MS = 120_000;
/** Race marker for {@link MnemopiEmbedClient.#awaitRequest}. */
const REQUEST_TIMED_OUT = Symbol("mnemopi.embed.timedOut");
export class MnemopiEmbedClient {
#worker: MnemopiEmbedWorkerHandle | null = null;
#unsubscribeMessage: (() => void) | null = null;
@@ -91,9 +106,14 @@ export class MnemopiEmbedClient {
#pending = new Map<string, PendingRequest>();
#nextRequestId = 0;
#spawnWorker: () => MnemopiEmbedWorkerHandle;
#requestTimeoutMs: number;
constructor(spawnWorker: () => MnemopiEmbedWorkerHandle = spawnMnemopiEmbedWorker) {
constructor(
spawnWorker: () => MnemopiEmbedWorkerHandle = spawnMnemopiEmbedWorker,
requestTimeoutMs: number = EMBED_REQUEST_TIMEOUT_MS,
) {
this.#spawnWorker = spawnWorker;
this.#requestTimeoutMs = requestTimeoutMs;
}
/**
@@ -115,7 +135,7 @@ export class MnemopiEmbedClient {
this.#pending.set(id, { kind: "init", model, resolve });
try {
worker.send({ type: "init", id, model, cacheDir });
const ok = await promise;
const ok = await this.#awaitRequest(promise);
if (!ok) return null;
} finally {
this.#pending.delete(id);
@@ -166,7 +186,7 @@ export class MnemopiEmbedClient {
// worker's "embed before init" guard. Worker `ensureLoaded` is
// idempotent so steady-state embeds pay no extra cost.
worker.send({ type: "embed", id, model, cacheDir, texts, batchSize });
const result = await promise;
const result = await this.#awaitRequest(promise);
if (result instanceof Error) throw result;
return result;
} finally {
@@ -174,6 +194,31 @@ export class MnemopiEmbedClient {
}
}
/**
* Await one embed-worker IPC reply, bounded by {@link EMBED_REQUEST_TIMEOUT_MS}.
* The timeout timer is `unref`'d so a pending request never keeps the parent
* event loop alive on its own (the awaiting caller does). On expiry the
* wedged worker is SIGKILL-reaped via {@link terminate} — faulting any other
* in-flight request and letting the next call respawn a fresh child — before
* the request rejects, so a hung native runtime cannot pin a turn's recall or
* the shutdown consolidation forever (issue #7352).
*/
async #awaitRequest<T>(promise: Promise<T>): Promise<T> {
const { promise: timedOut, resolve: fire } = Promise.withResolvers<typeof REQUEST_TIMED_OUT>();
const timer = setTimeout(() => fire(REQUEST_TIMED_OUT), this.#requestTimeoutMs);
timer.unref();
try {
const winner = await Promise.race([promise, timedOut]);
if (winner === REQUEST_TIMED_OUT) {
void this.terminate();
throw new Error("mnemopi embed worker request timed out");
}
return winner;
} finally {
clearTimeout(timer);
}
}
async *#streamEmbed(
model: MnemopiEmbedModelId,
cacheDir: string | undefined,
@@ -0,0 +1,141 @@
/**
* Regression for https://github.com/can1357/oh-my-pi/issues/7352
*
* A headless `omp --mode json --no-session -p @<file>` run with
* `memory.backend: mnemopi` hung after its turn completed and left an
* unreaped `__omp_worker_mnemopi_embed` child. The embed-worker IPC request
* (`init` / `embed`) had no timeout, so a wedged native runtime (fastembed /
* onnxruntime hanging, cf. #4792) blocked whatever awaited the embed — the
* turn's memory recall or the shutdown consolidation — forever. #5753 only
* bounded the dispose-time consolidate *await*; the embed IPC underneath it
* stayed unbounded, so the wedge escaped that budget.
*
* The fix bounds every embed-worker request: on expiry the request fails and
* the wedged worker is SIGKILL-reaped so the next call respawns a fresh child.
* These tests drive the client with fake, deliberately-silent workers so the
* contract is exercised without fastembed/onnxruntime.
*/
import { describe, expect, it } from "bun:test";
import { MnemopiEmbedClient, type MnemopiEmbedWorkerHandle } from "@oh-my-pi/pi-coding-agent/mnemopi/embed-client";
import type {
MnemopiEmbedWorkerInbound,
MnemopiEmbedWorkerOutbound,
} from "@oh-my-pi/pi-coding-agent/mnemopi/embed-protocol";
/** A fake worker that answers `init` but never answers `embed`. */
function silentEmbedWorker(state: { spawns: number; terminated: number }): () => MnemopiEmbedWorkerHandle {
return () => {
state.spawns += 1;
let handler: ((message: MnemopiEmbedWorkerOutbound) => void) | undefined;
return {
send(message: MnemopiEmbedWorkerInbound) {
// Reply to init/ping so the model handle resolves, but stay silent
// on `embed` to simulate a wedged native runtime.
queueMicrotask(() => {
if (message.type === "ping") handler?.({ type: "pong", id: message.id });
else if (message.type === "init") handler?.({ type: "ready", id: message.id });
});
},
onMessage(next) {
handler = next;
return () => {
if (handler === next) handler = undefined;
};
},
onError() {
return () => {};
},
async terminate() {
state.terminated += 1;
handler = undefined;
},
};
};
}
describe("issue #7352 — mnemopi embed requests are bounded and reap a wedged worker", () => {
it("fails a wedged embed within the budget instead of hanging forever", async () => {
const state = { spawns: 0, terminated: 0 };
const client = new MnemopiEmbedClient(silentEmbedWorker(state), 50);
try {
const model = await client.initialize("fast-bge-base-en-v1.5", "/tmp/cache");
expect(model).not.toBeNull();
const start = Date.now();
let threw = false;
try {
for await (const _ of model!.embed(["hello"])) {
/* drain */
}
} catch (error) {
threw = true;
expect(String(error)).toMatch(/timed out/i);
}
expect(threw).toBe(true);
// Bounded: nowhere near an indefinite hang.
expect(Date.now() - start).toBeLessThan(5_000);
// The wedged worker was reaped so it cannot linger as an orphan child.
expect(state.terminated).toBeGreaterThanOrEqual(1);
} finally {
await client.terminate();
}
}, 10_000);
it("respawns a fresh worker for the next request after reaping a wedged one", async () => {
const state = { spawns: 0, terminated: 0 };
const client = new MnemopiEmbedClient(silentEmbedWorker(state), 50);
try {
const model = await client.initialize("fast-bge-base-en-v1.5", "/tmp/cache");
const spawnsAfterInit = state.spawns;
await expect(
(async () => {
for await (const _ of model!.embed(["a"])) {
/* drain */
}
})(),
).rejects.toThrow(/timed out/i);
// The reap nulled the handle; a second embed must spawn a new child
// rather than reuse the dead one.
await expect(
(async () => {
for await (const _ of model!.embed(["b"])) {
/* drain */
}
})(),
).rejects.toThrow(/timed out/i);
expect(state.spawns).toBeGreaterThan(spawnsAfterInit);
} finally {
await client.terminate();
}
}, 10_000);
it("returns null and reaps the worker when init itself wedges", async () => {
const state = { spawns: 0, terminated: 0 };
// Worker that never answers anything, including init.
const client = new MnemopiEmbedClient(() => {
state.spawns += 1;
return {
send() {},
onMessage() {
return () => {};
},
onError() {
return () => {};
},
async terminate() {
state.terminated += 1;
},
};
}, 50);
try {
const model = await client.initialize("fast-bge-base-en-v1.5", undefined);
expect(model).toBeNull();
expect(state.terminated).toBeGreaterThanOrEqual(1);
} finally {
await client.terminate();
}
}, 10_000);
});