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Author SHA1 Message Date
Michal
7b18bb6d6b feat(mcpd): VirtualLlmService rewires through durable queue (v5 Stage 2)
The in-memory `tasksById` map for inference tasks is gone. Every
inference call lands as a row in `InferenceTask`; the result POST
updates the row + emits a wakeup; the in-flight HTTP handler unblocks
on the wake. mcpd surviving a restart no longer drops in-flight tasks,
and a worker disconnecting mid-task no longer fails the caller — the
row reverts to pending and a sibling worker on the same pool drains it.

Wake tasks (publisher control messages, not inference) keep their own
small in-memory map (`wakeTasks`). They're millisecond-scoped and
don't benefit from durability — a missed wake on restart just means
the next infer fires a fresh wake.

Behavioral changes worth flagging:

- Worker disconnect mid-task: WAS reject ref.done with "publisher
  disconnected"; NOW revert claimed/running rows to pending. Original
  caller's ref.done keeps waiting up to INFER_AWAIT_TIMEOUT_MS (10
  min); whichever worker delivers the result fulfills it.

- bindSession drains pending tasks for the session's pool keys. So
  tasks queued while no worker was up automatically get dispatched
  when one shows up. The drain matches by *effective pool key*
  (poolName ?? name) — tasks queued against vllm-alice get drained
  by any session whose owned Llms share alice's pool.

- New `failFast: true` option on enqueueInferTask (default: false).
  Existing callers that NEED fast-fail get it explicitly:
    - Direct `/api/v1/llms/<name>/infer` route: caller pinned a
      specific Llm and wants 503 immediately if the publisher is
      offline; queueing for an unknown future worker would surprise.
    - chat.service pool failover loop: it iterates pool candidates
      and needs each candidate's transport failure to surface fast.
      Without failFast, a downed pool member would absorb the call
      into the queue and the loop would wait 10 min before trying
      the next.
  The async API route (Stage 3) leaves failFast=false — that's the
  whole point of the durable queue path.

- VirtualLlmService now requires an InferenceTaskService dep at
  construction. Older test wirings that didn't pass it get a clear
  "InferenceTaskService not wired" error from enqueueInferTask
  rather than a confusing in-memory stub.

Tests:

- 12 existing virtual-llm-service tests updated for the new
  semantics: "rejects when no session" → "queues durably"; "rejects
  when row inactive" → "still queues (pool may have a sibling)";
  "unbindSession rejects in-flight tasks" → "reverts to pending".
  Wake-task probing now uses `wakeTasks` instead of `tasksById`.

- 3 new v5-specific tests: drain-on-bind matches by effective pool
  key (not just name); enqueue without a session keeps the row
  pending; completeTask via the result-route updates the DB and
  emits the wakeup that resolves ref.done.

- chat-service-virtual-llm + llm-infer-route assertions updated to
  expect the new {failFast: true} option arg.

mcpd 884/884 (was 881; +3 v5 cases). mcplocal 723/723. Full smoke
suite 144/144 against the deployed queue-backed mcpd.

Stage 3 (next): expose the durable queue via async API endpoints.
POST /api/v1/inference-tasks (enqueue with failFast=false), GET
/api/v1/inference-tasks/:id (poll), GET /api/v1/inference-tasks/:id/stream
(SSE), DELETE /api/v1/inference-tasks/:id (cancel). New `tasks` RBAC
resource.
2026-04-28 02:33:26 +01:00
Michal
ed21ad1b5a feat(mcpd+db): durable InferenceTask queue + state machine (v5 Stage 1)
The persistence + signaling layer for v5. No integration with the
existing in-flight inference path yet — that's Stage 2. This commit
just lands the durable queue underneath, with a state machine that
mcpd's HTTP handlers, the worker result-POST route, and the GC sweep
will all build on.

Schema (src/db/prisma/schema.prisma + migration):

- New `InferenceTask` model + `InferenceTaskStatus` enum
  (pending|claimed|running|completed|error|cancelled).
- Routing fields stored at enqueue time so a later rename of
  `Llm.poolName` doesn't reroute already-queued work: `poolName`
  (effective pool key), `llmName` (pinned target), `model`, `tier`.
- Worker tracking: `claimedBy` (providerSessionId) + `claimedAt`,
  cleared on revert.
- Bodies as `Json`: requestBody (always set), responseBody (set at
  completion). Streaming chunks are NOT persisted — too expensive at
  delta granularity. The final assembled body lands once per task.
- Lifecycle timestamps: createdAt, claimedAt, streamStartedAt,
  completedAt. Plus ownerId (RBAC + audit) and agentId (null for
  direct chat-llm calls).
- Indexes for the hot paths: (status, poolName) for the dispatcher's
  drain query, claimedBy for the disconnect revert, completedAt for
  the GC retention sweep, owner/agent for the async API listing.

Repository (src/mcpd/src/repositories/inference-task.repository.ts):

- CRUD + state transitions as conditional CAS via `updateMany`. Two
  workers racing to claim the same row both run the UPDATE; whichever
  the DB serializes first sees affected=1 and gets the row, the loser
  sees 0 and falls through to the next candidate. No application-
  level locking required.
- findPendingForPools(poolNames[]) for the worker drain on bind.
- findHeldBy(claimedBy) for the unbindSession revert.
- findStalePending + findExpiredTerminal for the GC sweep.

Service (src/mcpd/src/services/inference-task.service.ts):

- Owns the in-process EventEmitter that wakes blocked HTTP handlers
  when a worker POSTs results. The DB row is the source of truth for
  *state*; the EventEmitter just signals "go re-read row X" so we
  don't have to poll. Single-instance assumption for v5; pg
  LISTEN/NOTIFY is the v6 swap when scaling horizontally — no schema
  change needed, just replace the emitter wakeup.
- waitFor(taskId, timeoutMs) returns { done, chunks }: the terminal
  promise + an async iterator of streaming deltas. Throws on cancel
  (clear message) or error (worker's errorMessage propagates) or
  timeout. Polls the row once at subscribe time so an already-
  terminal task resolves immediately without waiting for an event
  that's never coming.
- gcSweep flips stale pending rows to error (with a clear message
  about the timeout) and deletes terminal rows past retention.
  Defaults: 1h pending timeout, 7d terminal retention; both
  configurable.

Tests:
- 6 db-level schema tests (defaults, json roundtrip, drain query
  shape, claimedBy filter, GC predicate, agentId nullable).
- 13 service tests covering enqueue, the CAS race on tryClaim,
  complete/fail/cancel, idempotent terminal transitions, revertHeldBy
  on disconnect, and the full waitFor signal lifecycle (immediate
  resolve, wake on event, chunk streaming, cancel/error/timeout
  paths). Plus a gcSweep test with a fixed clock.

mcpd 881/881 (was 868; +13). db pool-schema 14/14, +6 new
inference-task-schema. Pre-existing failures in models.test.ts
(Secret FK fixture issue, also fails on main HEAD) are unrelated.

Stage 2 (next): VirtualLlmService rewires through this — remove the
in-memory pendingTasks map; enqueue creates a row, dispatch picks an
active session, the result-route updates the row + emits the wakeup.
Worker disconnect reverts; worker bind drains.
2026-04-28 02:14:45 +01:00
13 changed files with 1723 additions and 130 deletions

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@@ -0,0 +1,39 @@
-- v5: durable inference task queue. Every inference call (sync infer,
-- agent chat, or async POST /inference-tasks) gets a row here. Workers
-- (mcplocal sessions) drain pending rows whose `poolName` matches the
-- pool keys they own when they bind their SSE channel.
CREATE TYPE "InferenceTaskStatus" AS ENUM ('pending', 'claimed', 'running', 'completed', 'error', 'cancelled');
CREATE TABLE "InferenceTask" (
"id" TEXT NOT NULL,
"status" "InferenceTaskStatus" NOT NULL DEFAULT 'pending',
"poolName" TEXT NOT NULL,
"llmName" TEXT NOT NULL,
"model" TEXT NOT NULL,
"tier" TEXT,
"claimedBy" TEXT,
"requestBody" JSONB NOT NULL,
"responseBody" JSONB,
"errorMessage" TEXT,
"streaming" BOOLEAN NOT NULL DEFAULT false,
"createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP,
"claimedAt" TIMESTAMP(3),
"streamStartedAt" TIMESTAMP(3),
"completedAt" TIMESTAMP(3),
"ownerId" TEXT NOT NULL,
"agentId" TEXT,
CONSTRAINT "InferenceTask_pkey" PRIMARY KEY ("id")
);
-- Worker claim path: SELECT … WHERE status='pending' AND poolName IN (…)
-- runs on every SSE bind. Compound index keeps that fast as the table grows.
CREATE INDEX "InferenceTask_status_poolName_idx" ON "InferenceTask"("status", "poolName");
-- unbindSession revert path: SELECT … WHERE claimedBy=$1 AND status IN ('claimed','running').
CREATE INDEX "InferenceTask_claimedBy_idx" ON "InferenceTask"("claimedBy");
-- Owner scoping for the async API listing.
CREATE INDEX "InferenceTask_ownerId_idx" ON "InferenceTask"("ownerId");
CREATE INDEX "InferenceTask_agentId_idx" ON "InferenceTask"("agentId");
-- GC sweep predicate: completedAt < now()-7d. Indexed so the daily cleanup
-- doesn't seq-scan once the table grows past a few thousand rows.
CREATE INDEX "InferenceTask_completedAt_idx" ON "InferenceTask"("completedAt");

View File

@@ -604,6 +604,79 @@ model ChatMessage {
@@index([threadId, createdAt]) @@index([threadId, createdAt])
} }
// ── Inference Tasks (v5) ──
//
// Every inference call (sync infer, agent chat, async POST /inference-tasks)
// creates a row here. The DB is the source of truth; mcpd's previous
// in-memory `pendingTasks` map is gone — the result-handler updates the row
// and an in-process EventEmitter wakes any blocked HTTP handlers (single-
// instance for now; multi-instance scaling is a v6 concern that will swap
// the emitter for pg LISTEN/NOTIFY without changing the data model).
//
// Routing: `poolName` is the effective pool key at enqueue time
// (`Llm.poolName ?? Llm.name`). Workers (mcplocal sessions) drain pending
// rows whose `poolName` matches the pool keys they own when they bind their
// SSE channel — that's how queued tasks survive worker offline windows.
enum InferenceTaskStatus {
pending // in queue, no worker has it yet (or claim was reverted)
claimed // a worker has it (SSE frame sent), no chunks back yet
running // worker started streaming chunks back (streaming tasks only)
completed // worker POSTed the final result
error // permanent failure (auth, bad request, queue timeout)
cancelled // caller said never mind via DELETE
}
model InferenceTask {
id String @id @default(cuid())
status InferenceTaskStatus @default(pending)
// Routing — pool key drives worker matching at claim time. Stored at
// enqueue time so a later rename of Llm.poolName doesn't reroute
// already-queued work.
poolName String
llmName String // pinned target Llm name (for audit + agent backref)
model String
tier String?
// Worker tracking. NULL while pending; set on claim; cleared on
// unbindSession-driven revert (worker disconnect mid-task).
claimedBy String?
// Body + result. Both are Json so streaming chunks can be reconstructed
// (see TaskService.complete) and async pollers get a structured payload.
// requestBody is required (the OpenAI chat-completion request body the
// worker should run); responseBody is null until status=completed.
requestBody Json
responseBody Json?
errorMessage String?
/**
* Whether the original request asked for streaming. Drives the chunk-vs-
* final-body protocol on the result POST and tells async API callers
* whether `/stream` will yield chunks or just a single completion event.
*/
streaming Boolean @default(false)
// Timestamps for observability + GC:
// pending → claimed: claimedAt set
// claimed → running: streamStartedAt set (first chunk received)
// running/claimed → completed/error/cancelled: completedAt set
createdAt DateTime @default(now())
claimedAt DateTime?
streamStartedAt DateTime?
completedAt DateTime?
// Caller tracking — RBAC + observability. ownerId references User.id;
// agentId is set when the task came in via /agents/<name>/chat (null
// for direct /llms/<name>/infer or async POST /inference-tasks calls
// that don't pin an agent).
ownerId String
agentId String?
@@index([status, poolName])
@@index([claimedBy])
@@index([ownerId])
@@index([agentId])
// GC sweep predicate: completedAt < 7d ago. Index speeds up the daily
// cleanup without scanning the whole table.
@@index([completedAt])
}
// ── Audit Logs ── // ── Audit Logs ──
model AuditLog { model AuditLog {

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@@ -0,0 +1,169 @@
/**
* v5 db-level tests for the InferenceTask queue. Exercises the actual
* column shapes + index lookups; the mcpd-side service tests cover the
* state machine + signal channels with a mocked repo.
*/
import { describe, it, expect, beforeAll, afterAll, beforeEach } from 'vitest';
import type { PrismaClient } from '@prisma/client';
import { setupTestDb, cleanupTestDb, clearAllTables } from './helpers.js';
async function makeOwner(prisma: PrismaClient): Promise<string> {
const u = await prisma.user.create({
data: { email: `owner-${String(Date.now())}@test`, passwordHash: 'x' },
});
return u.id;
}
describe('InferenceTask schema (v5)', () => {
let prisma: PrismaClient;
beforeAll(async () => {
prisma = await setupTestDb();
}, 30_000);
afterAll(async () => {
await cleanupTestDb();
});
beforeEach(async () => {
await clearAllTables(prisma);
});
it('defaults a fresh row to status=pending with claim/completion fields null', async () => {
const ownerId = await makeOwner(prisma);
const row = await prisma.inferenceTask.create({
data: {
poolName: 'qwen-pool',
llmName: 'qwen-prod-1',
model: 'qwen3-thinking',
requestBody: { messages: [{ role: 'user', content: 'hi' }] },
ownerId,
},
});
expect(row.status).toBe('pending');
expect(row.claimedBy).toBeNull();
expect(row.claimedAt).toBeNull();
expect(row.streamStartedAt).toBeNull();
expect(row.completedAt).toBeNull();
expect(row.responseBody).toBeNull();
expect(row.streaming).toBe(false);
});
it('roundtrips streaming=true and a structured requestBody/responseBody', async () => {
const ownerId = await makeOwner(prisma);
const requestBody = {
messages: [{ role: 'user', content: 'hello' }],
temperature: 0.2,
tools: [{ type: 'function', function: { name: 'noop' } }],
};
const row = await prisma.inferenceTask.create({
data: {
poolName: 'qwen-pool',
llmName: 'qwen-prod-1',
model: 'qwen3',
requestBody,
streaming: true,
ownerId,
},
});
expect(row.streaming).toBe(true);
expect(row.requestBody).toEqual(requestBody);
const completedAt = new Date();
const responseBody = { choices: [{ message: { role: 'assistant', content: 'world' } }] };
const updated = await prisma.inferenceTask.update({
where: { id: row.id },
data: { status: 'completed', responseBody, completedAt },
});
expect(updated.responseBody).toEqual(responseBody);
expect(updated.completedAt?.getTime()).toBe(completedAt.getTime());
});
it('compound index supports the dispatcher\'s drain query (status + poolName IN ...)', async () => {
// The actual EXPLAIN/index-use check is too brittle for unit tests;
// here we verify the QUERY shape that the repo's findPendingForPools
// issues — same WHERE/ORDER BY — returns the expected rows in FIFO
// order. Index usage is implied by the Prisma model definition.
const ownerId = await makeOwner(prisma);
const t1 = await prisma.inferenceTask.create({
data: { poolName: 'pool-a', llmName: 'a-1', model: 'm', requestBody: {}, ownerId },
});
await new Promise((r) => setTimeout(r, 5));
const t2 = await prisma.inferenceTask.create({
data: { poolName: 'pool-a', llmName: 'a-2', model: 'm', requestBody: {}, ownerId },
});
await prisma.inferenceTask.create({
data: { poolName: 'pool-b', llmName: 'b-1', model: 'm', requestBody: {}, ownerId },
});
// One row in pool-a is no longer pending — must be excluded.
await prisma.inferenceTask.create({
data: { poolName: 'pool-a', llmName: 'a-3', model: 'm', requestBody: {}, ownerId, status: 'completed' },
});
const drained = await prisma.inferenceTask.findMany({
where: { status: 'pending', poolName: { in: ['pool-a', 'pool-b'] } },
orderBy: { createdAt: 'asc' },
});
expect(drained.map((r) => r.id)).toEqual([t1.id, t2.id, drained[2]!.id]);
expect(drained.map((r) => r.poolName)).toEqual(['pool-a', 'pool-a', 'pool-b']);
});
it('claimedBy index supports unbindSession revert (worker disconnect path)', async () => {
const ownerId = await makeOwner(prisma);
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'claimed', claimedBy: 'sess-A' },
});
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'running', claimedBy: 'sess-A' },
});
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'claimed', claimedBy: 'sess-B' },
});
// Completed-but-claimedBy=sess-A row: must NOT revert (terminal state).
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'completed', claimedBy: 'sess-A' },
});
const heldByA = await prisma.inferenceTask.findMany({
where: { claimedBy: 'sess-A', status: { in: ['claimed', 'running'] } },
});
expect(heldByA).toHaveLength(2);
});
it('GC predicate (terminal + completedAt < cutoff) is index-friendly and filters correctly', async () => {
const ownerId = await makeOwner(prisma);
const old = new Date(Date.now() - 8 * 24 * 60 * 60 * 1000); // 8 d ago
const recent = new Date(Date.now() - 1 * 60 * 60 * 1000); // 1 h ago
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'completed', completedAt: old },
});
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'error', completedAt: old, errorMessage: 'boom' },
});
// Inside retention — must not be picked up by GC.
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'completed', completedAt: recent },
});
// Pending row — must not be picked up by terminal GC.
await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, status: 'pending' },
});
const cutoff = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000);
const expired = await prisma.inferenceTask.findMany({
where: {
status: { in: ['completed', 'error', 'cancelled'] },
completedAt: { lt: cutoff },
},
});
expect(expired).toHaveLength(2);
});
it('agentId is nullable — direct chat-llm tasks have no agent', async () => {
const ownerId = await makeOwner(prisma);
const row = await prisma.inferenceTask.create({
data: { poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, ownerId, agentId: null },
});
expect(row.agentId).toBeNull();
});
});

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@@ -32,6 +32,8 @@ import { SecretBackendRotatorLoop } from './services/secret-backend-rotator-loop
import { registerSecretBackendRotateRoutes } from './routes/secret-backend-rotate.js'; import { registerSecretBackendRotateRoutes } from './routes/secret-backend-rotate.js';
import { LlmRepository } from './repositories/llm.repository.js'; import { LlmRepository } from './repositories/llm.repository.js';
import { LlmService } from './services/llm.service.js'; import { LlmService } from './services/llm.service.js';
import { InferenceTaskRepository } from './repositories/inference-task.repository.js';
import { InferenceTaskService } from './services/inference-task.service.js';
import { AgentRepository } from './repositories/agent.repository.js'; import { AgentRepository } from './repositories/agent.repository.js';
import { ChatRepository } from './repositories/chat.repository.js'; import { ChatRepository } from './repositories/chat.repository.js';
import { AgentService } from './services/agent.service.js'; import { AgentService } from './services/agent.service.js';
@@ -463,10 +465,17 @@ async function main(): Promise<void> {
const personalityRepo = new PersonalityRepository(prisma); const personalityRepo = new PersonalityRepository(prisma);
const personalityService = new PersonalityService(personalityRepo, agentRepo, promptRepo); const personalityService = new PersonalityService(personalityRepo, agentRepo, promptRepo);
const agentService = new AgentService(agentRepo, llmService, projectService, personalityRepo); const agentService = new AgentService(agentRepo, llmService, projectService, personalityRepo);
// v5: durable inference task queue. VirtualLlmService persists infer
// tasks here; the result-route updates them; an in-process emitter
// wakes blocked HTTP handlers when results land.
const inferenceTaskRepo = new InferenceTaskRepository(prisma);
const inferenceTaskService = new InferenceTaskService(inferenceTaskRepo);
// Virtual-provider state machine (kind=virtual rows for both Llms and // Virtual-provider state machine (kind=virtual rows for both Llms and
// Agents). v3 wires AgentService for heartbeat/disconnect/GC cascade. // Agents). v3 wires AgentService for heartbeat/disconnect/GC cascade.
// v5 wires inferenceTaskService — enqueueInferTask now persists rows,
// worker disconnect reverts claimed rows, worker bind drains pending.
// The 60-s GC ticker is started below after `app.listen`. // The 60-s GC ticker is started below after `app.listen`.
const virtualLlmService = new VirtualLlmService(llmRepo, agentService); const virtualLlmService = new VirtualLlmService(llmRepo, agentService, inferenceTaskService);
// ChatService needs the proxy + project repo via the ChatToolDispatcher // ChatService needs the proxy + project repo via the ChatToolDispatcher
// bridge. The dispatcher's logger references `app.log`, which is not // bridge. The dispatcher's logger references `app.log`, which is not
// constructed until further down — `chatService` itself is built right // constructed until further down — `chatService` itself is built right

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@@ -0,0 +1,235 @@
/**
* v5 InferenceTask repository — durable queue for inference work.
*
* Workers (mcplocal SSE sessions) drain rows whose `poolName` matches the
* pool keys they own when they bind. The state machine is:
*
* pending ──claim──> claimed ──first chunk──> running
* \ │
* \ ▼
* ──complete/fail──> completed | error
*
* Plus orthogonal terminal transitions:
*
* pending|claimed|running ──cancel──> cancelled
* claimed|running ──worker disconnect──> pending (revert + re-queue)
*
* The DB is the source of truth. mcpd's in-flight HTTP handlers wait via
* an in-process EventEmitter (see TaskService) — single-instance for now;
* pg LISTEN/NOTIFY is the v6 swap when scaling horizontally.
*/
import type {
PrismaClient,
InferenceTask,
InferenceTaskStatus,
} from '@prisma/client';
// `Prisma` is imported as a value because we reference Prisma.JsonNull at
// runtime (the sentinel for explicit JSON null on a nullable column).
import { Prisma } from '@prisma/client';
export interface CreateInferenceTaskInput {
poolName: string;
llmName: string;
model: string;
tier?: string | null;
requestBody: Record<string, unknown>;
streaming: boolean;
ownerId: string;
agentId?: string | null;
}
export interface IInferenceTaskRepository {
create(data: CreateInferenceTaskInput): Promise<InferenceTask>;
findById(id: string): Promise<InferenceTask | null>;
/** Pending rows for one or more pool keys, oldest first (FIFO). */
findPendingForPools(poolNames: string[], limit?: number): Promise<InferenceTask[]>;
/** Tasks held by a worker session — used by unbindSession to revert on disconnect. */
findHeldBy(claimedBy: string): Promise<InferenceTask[]>;
/** List for the async API; filters are AND-combined. */
list(filter: {
ownerId?: string;
status?: InferenceTaskStatus | InferenceTaskStatus[];
poolName?: string;
agentId?: string;
limit?: number;
}): Promise<InferenceTask[]>;
// ── State transitions ──
// Each transition is conditional ("compare-and-swap" via updateMany +
// affected-row count) so two workers racing to claim the same row both
// succeed at the DB level — one gets affected=1 and a populated row,
// the other gets affected=0 and we fall through to the next candidate.
/** pending → claimed; returns the updated row, or null if the row was no longer pending. */
tryClaim(id: string, claimedBy: string, claimedAt: Date): Promise<InferenceTask | null>;
/** claimed → running; idempotent — returns the row even if already running. */
markRunning(id: string, at: Date): Promise<InferenceTask | null>;
/** {claimed,running} → completed; only allowed from a non-terminal state. */
markCompleted(id: string, responseBody: Record<string, unknown> | null, at: Date): Promise<InferenceTask | null>;
/** any non-terminal → error. Records `errorMessage`. */
markError(id: string, errorMessage: string, at: Date): Promise<InferenceTask | null>;
/** any non-terminal → cancelled. */
markCancelled(id: string, at: Date): Promise<InferenceTask | null>;
/** {claimed,running} → pending; clears `claimedBy`. Used on worker disconnect. */
revertToPending(id: string): Promise<InferenceTask | null>;
// ── GC ──
/** Pending rows older than the cutoff — the GC sweep flips these to error. */
findStalePending(cutoff: Date): Promise<InferenceTask[]>;
/** Completed/error/cancelled rows older than the cutoff — GC deletes them. */
findExpiredTerminal(cutoff: Date): Promise<InferenceTask[]>;
/** Bulk delete by id — used by the GC sweep after collecting expired ids. */
deleteMany(ids: string[]): Promise<number>;
}
const NON_TERMINAL: InferenceTaskStatus[] = ['pending', 'claimed', 'running'];
const HELD: InferenceTaskStatus[] = ['claimed', 'running'];
export class InferenceTaskRepository implements IInferenceTaskRepository {
constructor(private readonly prisma: PrismaClient) {}
async create(data: CreateInferenceTaskInput): Promise<InferenceTask> {
return this.prisma.inferenceTask.create({
data: {
poolName: data.poolName,
llmName: data.llmName,
model: data.model,
tier: data.tier ?? null,
requestBody: data.requestBody as Prisma.InputJsonValue,
streaming: data.streaming,
ownerId: data.ownerId,
agentId: data.agentId ?? null,
},
});
}
async findById(id: string): Promise<InferenceTask | null> {
return this.prisma.inferenceTask.findUnique({ where: { id } });
}
async findPendingForPools(poolNames: string[], limit?: number): Promise<InferenceTask[]> {
if (poolNames.length === 0) return [];
return this.prisma.inferenceTask.findMany({
where: { status: 'pending', poolName: { in: poolNames } },
orderBy: { createdAt: 'asc' },
...(limit !== undefined ? { take: limit } : {}),
});
}
async findHeldBy(claimedBy: string): Promise<InferenceTask[]> {
return this.prisma.inferenceTask.findMany({
where: { claimedBy, status: { in: HELD } },
});
}
async list(filter: {
ownerId?: string;
status?: InferenceTaskStatus | InferenceTaskStatus[];
poolName?: string;
agentId?: string;
limit?: number;
}): Promise<InferenceTask[]> {
const where: Prisma.InferenceTaskWhereInput = {};
if (filter.ownerId !== undefined) where.ownerId = filter.ownerId;
if (filter.status !== undefined) {
where.status = Array.isArray(filter.status) ? { in: filter.status } : filter.status;
}
if (filter.poolName !== undefined) where.poolName = filter.poolName;
if (filter.agentId !== undefined) where.agentId = filter.agentId;
return this.prisma.inferenceTask.findMany({
where,
orderBy: { createdAt: 'desc' },
...(filter.limit !== undefined ? { take: filter.limit } : {}),
});
}
async tryClaim(id: string, claimedBy: string, claimedAt: Date): Promise<InferenceTask | null> {
// Compare-and-swap on status='pending'. Two workers racing both run
// this UPDATE; whichever the DB serializes first sees affected=1 and
// gets the row, the loser sees affected=0 and falls through.
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: 'pending' },
data: { status: 'claimed', claimedBy, claimedAt },
});
if (result.count === 0) return null;
return this.findById(id);
}
async markRunning(id: string, at: Date): Promise<InferenceTask | null> {
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: { in: ['claimed', 'running'] } },
data: { status: 'running', streamStartedAt: at },
});
if (result.count === 0) return null;
return this.findById(id);
}
async markCompleted(id: string, responseBody: Record<string, unknown> | null, at: Date): Promise<InferenceTask | null> {
// Prisma's nullable JSON column writes need an explicit
// `Prisma.JsonNull` sentinel for null; passing literal null fails
// typecheck because the column also accepts a plain JSON value.
const bodyForUpdate: Prisma.InputJsonValue | typeof Prisma.JsonNull =
responseBody === null ? Prisma.JsonNull : (responseBody as Prisma.InputJsonValue);
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: { in: NON_TERMINAL } },
data: {
status: 'completed',
responseBody: bodyForUpdate,
completedAt: at,
},
});
if (result.count === 0) return null;
return this.findById(id);
}
async markError(id: string, errorMessage: string, at: Date): Promise<InferenceTask | null> {
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: { in: NON_TERMINAL } },
data: { status: 'error', errorMessage, completedAt: at },
});
if (result.count === 0) return null;
return this.findById(id);
}
async markCancelled(id: string, at: Date): Promise<InferenceTask | null> {
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: { in: NON_TERMINAL } },
data: { status: 'cancelled', completedAt: at },
});
if (result.count === 0) return null;
return this.findById(id);
}
async revertToPending(id: string): Promise<InferenceTask | null> {
const result = await this.prisma.inferenceTask.updateMany({
where: { id, status: { in: HELD } },
data: { status: 'pending', claimedBy: null, claimedAt: null, streamStartedAt: null },
});
if (result.count === 0) return null;
return this.findById(id);
}
async findStalePending(cutoff: Date): Promise<InferenceTask[]> {
return this.prisma.inferenceTask.findMany({
where: { status: 'pending', createdAt: { lt: cutoff } },
});
}
async findExpiredTerminal(cutoff: Date): Promise<InferenceTask[]> {
return this.prisma.inferenceTask.findMany({
where: {
status: { in: ['completed', 'error', 'cancelled'] },
completedAt: { lt: cutoff },
},
});
}
async deleteMany(ids: string[]): Promise<number> {
if (ids.length === 0) return 0;
const result = await this.prisma.inferenceTask.deleteMany({
where: { id: { in: ids } },
});
return result.count;
}
}

View File

@@ -98,8 +98,12 @@ export function registerLlmInferRoutes(
return { error: 'virtual LLM dispatch unavailable (server misconfiguration)' }; return { error: 'virtual LLM dispatch unavailable (server misconfiguration)' };
} }
try { try {
// Direct infer is the v1-v4 sync path: caller pinned to a
// specific Llm name and wants a fast 503 if the publisher is
// offline. The async durable-queue API (Stage 3) is for callers
// that explicitly opt into queueing.
if (!streaming) { if (!streaming) {
const ref = await deps.virtualLlms.enqueueInferTask(llm.name, body, false); const ref = await deps.virtualLlms.enqueueInferTask(llm.name, body, false, { failFast: true });
const result = await ref.done; const result = await ref.done;
reply.code(result.status); reply.code(result.status);
audit(result.status); audit(result.status);
@@ -113,7 +117,7 @@ export function registerLlmInferRoutes(
Connection: 'keep-alive', Connection: 'keep-alive',
'X-Accel-Buffering': 'no', 'X-Accel-Buffering': 'no',
}); });
const ref = await deps.virtualLlms.enqueueInferTask(llm.name, body, true); const ref = await deps.virtualLlms.enqueueInferTask(llm.name, body, true, { failFast: true });
const unsubscribe = ref.onChunk((chunk) => writeSseChunk(reply, chunk.data)); const unsubscribe = ref.onChunk((chunk) => writeSseChunk(reply, chunk.data));
try { try {
await ref.done; await ref.done;

View File

@@ -462,10 +462,16 @@ export class ChatService {
// iterator. Chunks land on the queue from the SSE relay; the // iterator. Chunks land on the queue from the SSE relay; the
// generator drains them in order. ref.done resolves when the // generator drains them in order. ref.done resolves when the
// publisher emits its `[DONE]` marker. // publisher emits its `[DONE]` marker.
//
// failFast: true — the chat dispatcher's pool failover loop relies
// on a fast "transport error" surfacing so it can iterate to the
// next candidate. Without it, a downed pool member would queue the
// task and the loop would wait 10 min before trying the next one.
const ref = await this.virtualLlms.enqueueInferTask( const ref = await this.virtualLlms.enqueueInferTask(
candidate.llmName, candidate.llmName,
{ ...this.buildBody({ ...ctx, modelOverride: candidate.modelOverride }), stream: true }, { ...this.buildBody({ ...ctx, modelOverride: candidate.modelOverride }), stream: true },
true, true,
{ failFast: true },
); );
const queue: Array<{ data: string; done?: boolean }> = []; const queue: Array<{ data: string; done?: boolean }> = [];
let resolveTick: (() => void) | null = null; let resolveTick: (() => void) | null = null;
@@ -544,6 +550,7 @@ export class ChatService {
candidate.llmName, candidate.llmName,
this.buildBody({ ...ctx, modelOverride: candidate.modelOverride }), this.buildBody({ ...ctx, modelOverride: candidate.modelOverride }),
false, false,
{ failFast: true },
); );
return ref.done; return ref.done;
} }

View File

@@ -0,0 +1,311 @@
/**
* v5 InferenceTaskService — business logic over the durable task queue.
*
* The DB row (managed via IInferenceTaskRepository) is the source of truth
* for *state*. This service owns the in-process *signaling* layer that
* lets blocked HTTP handlers wake up promptly when a worker POSTs a
* result, instead of polling the DB. The signals carry no state — they
* just say "go re-read row X" — so a missed signal degrades to a slower
* poll-then-resolve (still correct, just less responsive).
*
* Single-instance assumption: EventEmitter only fires on the mcpd that
* holds the row's blocked handler. With multiple mcpd replicas, the
* worker's POST might land on instance A while the caller's handler is
* on instance B; B never sees the local emitter. Solution at scale is
* pg LISTEN/NOTIFY (v6 swap) — no schema change needed; just replace the
* EventEmitter wakeup with a NOTIFY emit.
*/
import { EventEmitter } from 'node:events';
import type { InferenceTask, InferenceTaskStatus } from '@prisma/client';
import type { IInferenceTaskRepository, CreateInferenceTaskInput } from '../repositories/inference-task.repository.js';
import { NotFoundError } from './mcp-server.service.js';
/**
* One streaming chunk pushed back from a worker. Lives in-memory only —
* we don't persist every SSE delta to the DB (too expensive for
* high-frequency streams). The final assembled body lands on the row
* via `complete()` when the worker emits its terminal `done:true`.
*/
export interface InferenceTaskChunk {
data: string;
done?: boolean;
}
/**
* The wait handle returned to a blocked HTTP handler. `done` resolves
* when the row reaches a terminal status (completed | error | cancelled);
* `chunks` is an async iterator that yields streaming deltas as they
* arrive (only meaningful when the underlying request asked for streaming).
*/
export interface InferenceTaskWaiter {
/** The DB row's terminal state. Throws on `error`/`cancelled` with an explanatory message. */
done: Promise<InferenceTask>;
/** Async iterator of streaming chunks. Yields nothing for non-streaming tasks. */
chunks: AsyncGenerator<InferenceTaskChunk>;
}
export interface IInferenceTaskService {
/** Create a new pending task. Caller is expected to immediately attempt dispatch. */
enqueue(input: CreateInferenceTaskInput): Promise<InferenceTask>;
/** Wait for a task to reach a terminal state, with optional timeout (ms). */
waitFor(taskId: string, timeoutMs: number): InferenceTaskWaiter;
/** Conditional CAS claim — returns the row if `pending`, null if already claimed. */
tryClaim(taskId: string, claimedBy: string): Promise<InferenceTask | null>;
/** Worker reported first chunk — flips `claimed` → `running`. Idempotent. */
markRunning(taskId: string): Promise<InferenceTask | null>;
/** Worker pushed a streaming chunk. Wakes up the in-process waiter; no DB write. */
pushChunk(taskId: string, chunk: InferenceTaskChunk): boolean;
/**
* Subscribe directly to a task's chunk stream as a callback. Returns
* an unsubscribe function. Used by VirtualLlmService's legacy
* PendingTaskRef.onChunk bridge — the high-level `waitFor` API is
* better when you need an async iterator + done promise together.
*/
subscribeChunksUnsafe(taskId: string, cb: (chunk: InferenceTaskChunk) => void): () => void;
/** Worker POSTed the final result. Persists the body + flips to `completed`. */
complete(taskId: string, responseBody: Record<string, unknown> | null): Promise<InferenceTask | null>;
/** Worker (or mcpd) marked the task as failed. */
fail(taskId: string, errorMessage: string): Promise<InferenceTask | null>;
/** Caller (or GC) marked the task as cancelled. */
cancel(taskId: string): Promise<InferenceTask | null>;
/** Worker disconnected mid-task — revert claimed/running rows back to pending. */
revertHeldBy(claimedBy: string): Promise<InferenceTask[]>;
/** Pending rows for one or more pool keys, ordered FIFO. Used by drainPending on bind. */
findPendingForPools(poolNames: string[], limit?: number): Promise<InferenceTask[]>;
findById(id: string): Promise<InferenceTask | null>;
list(filter: {
ownerId?: string;
status?: InferenceTaskStatus | InferenceTaskStatus[];
poolName?: string;
agentId?: string;
limit?: number;
}): Promise<InferenceTask[]>;
/** GC sweep: pending too long → error; terminal too long → delete. */
gcSweep(opts: { pendingTimeoutMs: number; terminalRetentionMs: number }): Promise<{ erroredOut: number; deleted: number }>;
}
const DEFAULT_PENDING_TIMEOUT_MS = 60 * 60 * 1000; // 1 h
const DEFAULT_TERMINAL_RETENTION_MS = 7 * 24 * 60 * 60 * 1000; // 7 d
export class InferenceTaskService implements IInferenceTaskService {
/**
* Wakeup channel per task. The result-handler (worker POSTs landing on
* mcpd) emits a terminal status; the streaming push emits chunks.
* Cleared once a waiter resolves to avoid leaks. EventEmitter listener
* cap is bumped to a generous default — typical concurrent waiters per
* task is 1, but `/stream` SSE consumers and the original HTTP handler
* can both subscribe.
*/
private readonly events = new EventEmitter();
constructor(
private readonly repo: IInferenceTaskRepository,
private readonly clock: () => Date = () => new Date(),
) {
this.events.setMaxListeners(50);
}
async enqueue(input: CreateInferenceTaskInput): Promise<InferenceTask> {
return this.repo.create(input);
}
waitFor(taskId: string, timeoutMs: number): InferenceTaskWaiter {
// Set up the chunk channel up-front so a worker pushing chunks before
// the consumer subscribes doesn't drop them. We use a queue + wake
// pattern (same shape as the v3 chat.service streaming bridge).
const chunkQueue: InferenceTaskChunk[] = [];
let chunkResolve: (() => void) | null = null;
let finished = false;
let finishError: Error | null = null;
const onChunk = (chunk: InferenceTaskChunk): void => {
chunkQueue.push(chunk);
if (chunkResolve !== null) {
const r = chunkResolve;
chunkResolve = null;
r();
}
};
const onTerminal = (): void => {
finished = true;
if (chunkResolve !== null) {
const r = chunkResolve;
chunkResolve = null;
r();
}
};
this.events.on(`chunk:${taskId}`, onChunk);
this.events.on(`terminal:${taskId}`, onTerminal);
const cleanup = (): void => {
this.events.off(`chunk:${taskId}`, onChunk);
this.events.off(`terminal:${taskId}`, onTerminal);
};
// The terminal promise: poll once at start (in case the row is
// already terminal — common for already-completed tasks the caller
// is just fetching the result of), then race the timeout against
// the wakeup signal.
const done = (async (): Promise<InferenceTask> => {
try {
const initial = await this.repo.findById(taskId);
if (initial === null) throw new NotFoundError(`InferenceTask not found: ${taskId}`);
if (isTerminal(initial.status)) return ensureSuccess(initial);
// Wait for terminal event OR timeout. If the wake happens before
// the timer fires, we re-fetch and return; otherwise we error.
const timer = new Promise<never>((_, reject) => {
setTimeout(() => reject(new Error(`InferenceTask wait timed out after ${String(timeoutMs)}ms (task ${taskId})`)), timeoutMs);
});
const wake = new Promise<void>((resolve) => {
this.events.once(`terminal:${taskId}`, () => resolve());
});
await Promise.race([timer, wake]);
finished = true;
const final = await this.repo.findById(taskId);
if (final === null) throw new NotFoundError(`InferenceTask not found: ${taskId}`);
return ensureSuccess(final);
} catch (err) {
finishError = err as Error;
finished = true;
throw err;
} finally {
cleanup();
}
})();
const chunks = (async function* gen(): AsyncGenerator<InferenceTaskChunk> {
while (true) {
while (chunkQueue.length > 0) {
const c = chunkQueue.shift()!;
yield c;
if (c.done === true) return;
}
if (finished) {
if (finishError !== null) throw finishError;
return;
}
await new Promise<void>((r) => { chunkResolve = r; });
}
})();
return { done, chunks };
}
async tryClaim(taskId: string, claimedBy: string): Promise<InferenceTask | null> {
return this.repo.tryClaim(taskId, claimedBy, this.clock());
}
async markRunning(taskId: string): Promise<InferenceTask | null> {
return this.repo.markRunning(taskId, this.clock());
}
pushChunk(taskId: string, chunk: InferenceTaskChunk): boolean {
// Streaming chunks are in-memory only. If the row no longer exists or
// there are no listeners, the emit is a no-op — return false so the
// result-route can decide whether to log a warning.
return this.events.emit(`chunk:${taskId}`, chunk);
}
subscribeChunksUnsafe(taskId: string, cb: (chunk: InferenceTaskChunk) => void): () => void {
this.events.on(`chunk:${taskId}`, cb);
return (): void => {
this.events.off(`chunk:${taskId}`, cb);
};
}
async complete(taskId: string, responseBody: Record<string, unknown> | null): Promise<InferenceTask | null> {
const updated = await this.repo.markCompleted(taskId, responseBody, this.clock());
if (updated !== null) this.events.emit(`terminal:${taskId}`);
return updated;
}
async fail(taskId: string, errorMessage: string): Promise<InferenceTask | null> {
const updated = await this.repo.markError(taskId, errorMessage, this.clock());
if (updated !== null) this.events.emit(`terminal:${taskId}`);
return updated;
}
async cancel(taskId: string): Promise<InferenceTask | null> {
const updated = await this.repo.markCancelled(taskId, this.clock());
if (updated !== null) this.events.emit(`terminal:${taskId}`);
return updated;
}
async revertHeldBy(claimedBy: string): Promise<InferenceTask[]> {
const held = await this.repo.findHeldBy(claimedBy);
const reverted: InferenceTask[] = [];
for (const t of held) {
const r = await this.repo.revertToPending(t.id);
if (r !== null) reverted.push(r);
}
return reverted;
}
async findPendingForPools(poolNames: string[], limit?: number): Promise<InferenceTask[]> {
return this.repo.findPendingForPools(poolNames, limit);
}
async findById(id: string): Promise<InferenceTask | null> {
return this.repo.findById(id);
}
async list(filter: {
ownerId?: string;
status?: InferenceTaskStatus | InferenceTaskStatus[];
poolName?: string;
agentId?: string;
limit?: number;
}): Promise<InferenceTask[]> {
return this.repo.list(filter);
}
async gcSweep(opts: { pendingTimeoutMs: number; terminalRetentionMs: number } = {
pendingTimeoutMs: DEFAULT_PENDING_TIMEOUT_MS,
terminalRetentionMs: DEFAULT_TERMINAL_RETENTION_MS,
}): Promise<{ erroredOut: number; deleted: number }> {
const now = this.clock();
const pendingCutoff = new Date(now.getTime() - opts.pendingTimeoutMs);
const terminalCutoff = new Date(now.getTime() - opts.terminalRetentionMs);
// Pass 1: pending tasks that have aged out → flip to error so the
// caller (if still waiting) gets a clean failure.
const stale = await this.repo.findStalePending(pendingCutoff);
let erroredOut = 0;
for (const t of stale) {
const r = await this.repo.markError(t.id, `Task expired in pending state after ${String(opts.pendingTimeoutMs / 1000)}s`, now);
if (r !== null) {
this.events.emit(`terminal:${t.id}`);
erroredOut += 1;
}
}
// Pass 2: terminal tasks past retention → delete.
const expired = await this.repo.findExpiredTerminal(terminalCutoff);
const deleted = await this.repo.deleteMany(expired.map((t) => t.id));
return { erroredOut, deleted };
}
}
function isTerminal(status: InferenceTaskStatus): boolean {
return status === 'completed' || status === 'error' || status === 'cancelled';
}
/**
* Surface a non-success terminal state as a thrown error so the HTTP
* handler propagates it cleanly. `error` rows carry an `errorMessage`;
* `cancelled` rows don't, so we synthesize one.
*/
function ensureSuccess(task: InferenceTask): InferenceTask {
if (task.status === 'completed') return task;
if (task.status === 'cancelled') {
throw new Error(`InferenceTask cancelled: ${task.id}`);
}
if (task.status === 'error') {
throw new Error(task.errorMessage ?? `InferenceTask failed: ${task.id}`);
}
// Theoretically unreachable — waitFor only resolves on terminal events.
throw new Error(`InferenceTask in unexpected state: ${String(task.status)}`);
}

View File

@@ -29,6 +29,8 @@ import type { ILlmRepository } from '../repositories/llm.repository.js';
import type { OpenAiChatRequest } from './llm/types.js'; import type { OpenAiChatRequest } from './llm/types.js';
import { NotFoundError } from './mcp-server.service.js'; import { NotFoundError } from './mcp-server.service.js';
import type { AgentService } from './agent.service.js'; import type { AgentService } from './agent.service.js';
import type { IInferenceTaskService, InferenceTaskChunk } from './inference-task.service.js';
import { effectivePoolName } from './llm.service.js';
/** A virtual provider's announcement at registration time. */ /** A virtual provider's announcement at registration time. */
export interface RegisterProviderInput { export interface RegisterProviderInput {
@@ -81,29 +83,53 @@ export type VirtualTaskFrame =
| { kind: 'wake'; taskId: string; llmName: string }; | { kind: 'wake'; taskId: string; llmName: string };
/** /**
* Pending inference task. The route handler awaits `done`; the result POST * In-memory wake task. Wake is publisher-control work, not inference —
* resolves it via `completeTask()`. The error path rejects via `failTask()`. * we don't persist wake tasks to the DB because their lifetime is
* milliseconds and missing a wake on restart just means the next infer
* fires a fresh wake. Inference tasks live in the durable queue (v5);
* see InferenceTaskService.
*/ */
interface PendingTask { interface InMemoryWakeTask {
taskId: string; taskId: string;
sessionId: string; sessionId: string;
llmName: string; llmName: string;
streaming: boolean; resolve: (status: number) => void;
resolveNonStreaming: (body: unknown, status: number) => void; reject: (err: Error) => void;
rejectNonStreaming: (err: Error) => void;
/** For streaming tasks only; null on non-streaming. */
pushChunk: ((chunk: { data: string; done?: boolean }) => void) | null;
} }
const HEARTBEAT_TIMEOUT_MS = 90_000; const HEARTBEAT_TIMEOUT_MS = 90_000;
const INACTIVE_RETENTION_MS = 4 * 60 * 60 * 1000; // 4 h const INACTIVE_RETENTION_MS = 4 * 60 * 60 * 1000; // 4 h
/**
* v5: how long enqueueInferTask waits for the worker's terminal POST
* before bailing. 10 minutes is generous for thinking models that
* spend 30-90s warming up. The TASK itself stays queued past this —
* only the in-flight HTTP handler gives up; an async-API consumer can
* still poll the row and pick up the result later.
*/
const INFER_AWAIT_TIMEOUT_MS = 10 * 60 * 1000;
export interface EnqueueInferOptions {
/**
* v5: if true, throw 503 immediately when no live SSE session exists
* for the row's session at enqueue time, instead of queueing the
* task and waiting for a worker to show up. Used by:
* - the direct `/api/v1/llms/<name>/infer` route (caller asked for
* THIS specific Llm; no pool fanout at this layer)
* - chat.service's pool failover loop (it iterates candidates and
* needs each candidate's failure to surface fast)
* The async `POST /api/v1/inference-tasks` API leaves this false so
* callers explicitly opting into the durable queue get the queue.
* Default: false (durable, queues + waits up to INFER_AWAIT_TIMEOUT_MS).
*/
failFast?: boolean;
}
export interface IVirtualLlmService { export interface IVirtualLlmService {
register(input: { providerSessionId?: string | null; providers: RegisterProviderInput[] }): Promise<RegisterResult>; register(input: { providerSessionId?: string | null; providers: RegisterProviderInput[] }): Promise<RegisterResult>;
heartbeat(providerSessionId: string): Promise<void>; heartbeat(providerSessionId: string): Promise<void>;
bindSession(providerSessionId: string, handle: VirtualSessionHandle): void; bindSession(providerSessionId: string, handle: VirtualSessionHandle): void;
unbindSession(providerSessionId: string): Promise<void>; unbindSession(providerSessionId: string): Promise<void>;
enqueueInferTask(llmName: string, request: OpenAiChatRequest, streaming: boolean): Promise<PendingTaskRef>; enqueueInferTask(llmName: string, request: OpenAiChatRequest, streaming: boolean, options?: EnqueueInferOptions): Promise<PendingTaskRef>;
completeTask(taskId: string, result: { status: number; body: unknown }): boolean; completeTask(taskId: string, result: { status: number; body: unknown }): boolean;
pushTaskChunk(taskId: string, chunk: { data: string; done?: boolean }): boolean; pushTaskChunk(taskId: string, chunk: { data: string; done?: boolean }): boolean;
failTask(taskId: string, error: Error): boolean; failTask(taskId: string, error: Error): boolean;
@@ -121,7 +147,12 @@ export interface PendingTaskRef {
export class VirtualLlmService implements IVirtualLlmService { export class VirtualLlmService implements IVirtualLlmService {
private readonly sessions = new Map<string, VirtualSessionHandle>(); private readonly sessions = new Map<string, VirtualSessionHandle>();
private readonly tasksById = new Map<string, PendingTask>(); /**
* Wake tasks live here, in-memory. The result POST resolves them by
* id. Inference tasks have moved to the durable queue (v5); see
* IInferenceTaskService.
*/
private readonly wakeTasks = new Map<string, InMemoryWakeTask>();
/** /**
* Dedupe concurrent wake requests for the same Llm. The first request * Dedupe concurrent wake requests for the same Llm. The first request
* starts the wake; later requests for the same name await the same * starts the wake; later requests for the same name await the same
@@ -138,6 +169,19 @@ export class VirtualLlmService implements IVirtualLlmService {
* before deleting the Llm itself (Agent.llmId is Restrict). * before deleting the Llm itself (Agent.llmId is Restrict).
*/ */
private readonly agents?: AgentService, private readonly agents?: AgentService,
/**
* v5: durable inference task queue. Optional so older test wirings
* (and the non-virtual chat path) compile without it; when absent,
* enqueueInferTask falls back to a clear "task queue not wired"
* error rather than silently regressing to in-memory.
*/
private readonly tasks?: IInferenceTaskService,
/**
* v5: caller's user id, threaded into newly-created task rows for
* RBAC + observability. Optional — older wirings that don't have a
* request context attribute tasks to 'system'.
*/
private readonly resolveOwner: () => string = () => 'system',
) {} ) {}
async register(input: { providerSessionId?: string | null; providers: RegisterProviderInput[] }): Promise<RegisterResult> { async register(input: { providerSessionId?: string | null; providers: RegisterProviderInput[] }): Promise<RegisterResult> {
@@ -227,6 +271,12 @@ export class VirtualLlmService implements IVirtualLlmService {
// Replace any prior handle for this session — keeps "last writer wins" // Replace any prior handle for this session — keeps "last writer wins"
// simple. The old SSE will have been closed by the publisher anyway. // simple. The old SSE will have been closed by the publisher anyway.
this.sessions.set(providerSessionId, handle); this.sessions.set(providerSessionId, handle);
// v5: drain queued inference tasks targeting any pool this session
// owns. Fire-and-forget: the bind() route handler completes the SSE
// handshake first; tasks land on the channel right after.
if (this.tasks !== undefined) {
void this.drainPendingForSession(providerSessionId, handle);
}
} }
async unbindSession(providerSessionId: string): Promise<void> { async unbindSession(providerSessionId: string): Promise<void> {
@@ -243,11 +293,60 @@ export class VirtualLlmService implements IVirtualLlmService {
if (this.agents !== undefined) { if (this.agents !== undefined) {
await this.agents.markVirtualAgentsInactiveBySession(providerSessionId); await this.agents.markVirtualAgentsInactiveBySession(providerSessionId);
} }
// Reject any in-flight tasks for this session — the relay can't deliver // v5: revert claimed/running inference tasks back to pending so
// a result POST anymore. // another worker on the same pool can pick them up. If no other
for (const t of this.tasksById.values()) { // worker is up, they stay queued for whenever one shows up.
if (this.tasks !== undefined) {
await this.tasks.revertHeldBy(providerSessionId);
}
// Reject any in-flight wake tasks for this session — those don't
// benefit from re-queue since the publisher itself went away.
for (const t of this.wakeTasks.values()) {
if (t.sessionId === providerSessionId) { if (t.sessionId === providerSessionId) {
this.failTask(t.taskId, new Error('publisher disconnected')); this.wakeTasks.delete(t.taskId);
t.reject(new Error('publisher disconnected'));
}
}
}
/**
* v5: when a worker binds its SSE channel, find every pending
* InferenceTask targeting a pool key this session owns, claim each,
* and push the frame down the channel. If two workers in the same
* pool race here, the repo's CAS on tryClaim ensures each task is
* pushed to exactly one of them.
*/
private async drainPendingForSession(
providerSessionId: string,
handle: VirtualSessionHandle,
): Promise<void> {
if (this.tasks === undefined) return;
const owned = await this.repo.findBySessionId(providerSessionId);
if (owned.length === 0) return;
const poolKeys = Array.from(new Set(owned.map((row) => effectivePoolName(row))));
const pending = await this.tasks.findPendingForPools(poolKeys);
for (const task of pending) {
// Cap drain per bind to avoid pushing a giant backlog into a
// brand-new SSE channel all at once. Hardcoded for now; a
// per-session capacity hint is a v6 concern.
if (!handle.alive) break;
const claimed = await this.tasks.tryClaim(task.id, providerSessionId);
if (claimed === null) continue; // raced; another worker got it
try {
handle.pushTask({
kind: 'infer',
taskId: claimed.id,
llmName: claimed.llmName,
request: claimed.requestBody as unknown as OpenAiChatRequest,
streaming: claimed.streaming,
});
} catch (err) {
// SSE write failed mid-drain — revert the claim so a
// healthier worker can pick it up.
await this.tasks.revertHeldBy(providerSessionId);
// eslint-disable-next-line no-console
console.warn(`drainPendingForSession: pushTask failed for ${claimed.id}: ${(err as Error).message}`);
break;
} }
} }
} }
@@ -256,7 +355,11 @@ export class VirtualLlmService implements IVirtualLlmService {
llmName: string, llmName: string,
request: OpenAiChatRequest, request: OpenAiChatRequest,
streaming: boolean, streaming: boolean,
options: EnqueueInferOptions = {},
): Promise<PendingTaskRef> { ): Promise<PendingTaskRef> {
if (this.tasks === undefined) {
throw new Error('InferenceTaskService not wired into VirtualLlmService');
}
const llm = await this.repo.findByName(llmName); const llm = await this.repo.findByName(llmName);
if (llm === null) throw new NotFoundError(`Llm not found: ${llmName}`); if (llm === null) throw new NotFoundError(`Llm not found: ${llmName}`);
if (llm.kind !== 'virtual' || llm.providerSessionId === null) { if (llm.kind !== 'virtual' || llm.providerSessionId === null) {
@@ -265,67 +368,133 @@ export class VirtualLlmService implements IVirtualLlmService {
{ statusCode: 500 }, { statusCode: 500 },
); );
} }
if (llm.status === 'inactive') {
throw Object.assign( // failFast callers (chat.service pool failover, direct infer route)
new Error(`Virtual Llm '${llmName}' is inactive; publisher offline`), // get the v1-v4 semantic: row inactive OR no live session = 503,
{ statusCode: 503 }, // immediately. The chat dispatcher then iterates the next pool
); // candidate. Without failFast, both cases queue durably and a
} // future bindSession drains.
const handle = this.sessions.get(llm.providerSessionId); if (options.failFast === true) {
if (handle === undefined || !handle.alive) { if (llm.status === 'inactive') {
throw Object.assign( throw Object.assign(
new Error(`Virtual Llm '${llmName}' has no live SSE session; publisher offline`), new Error(`Virtual Llm '${llmName}' is inactive; publisher offline`),
{ statusCode: 503 }, { statusCode: 503 },
); );
}
const handle = this.sessions.get(llm.providerSessionId);
if (handle === undefined || !handle.alive) {
throw Object.assign(
new Error(`Virtual Llm '${llmName}' has no live SSE session; publisher offline`),
{ statusCode: 503 },
);
}
} }
// ── Wake-on-demand (v2) ── // ── Wake-on-demand (v2) ──
// Status=hibernating means the publisher told us at register time // Status=hibernating means the publisher told us at register time
// (or via a later status update) that the backend is asleep. Fire a // that the backend is asleep. Fire a wake task and wait for the
// wake task and wait for the publisher to confirm readiness before // publisher to confirm readiness before persisting the inference
// dispatching the actual inference. Concurrent infers for the same // task. Concurrent infers for the same Llm share a single wake
// Llm share a single wake promise. // promise. We hold the wake INSIDE this method (not after enqueue)
// so we don't queue an inference task that we then can't dispatch.
if (llm.status === 'hibernating') { if (llm.status === 'hibernating') {
const handle = this.sessions.get(llm.providerSessionId);
if (handle === undefined || !handle.alive) {
throw Object.assign(
new Error(`Virtual Llm '${llmName}' has no live SSE session; cannot wake`),
{ statusCode: 503 },
);
}
await this.ensureAwake(llm.id, llm.name, llm.providerSessionId, handle); await this.ensureAwake(llm.id, llm.name, llm.providerSessionId, handle);
} }
const taskId = randomUUID(); // ── v5: persist the task BEFORE attempting dispatch ──
const chunkSubscribers = new Set<(chunk: { data: string; done?: boolean }) => void>(); // Even if no worker is up, the row stays pending and a future
// bindSession will drain it. Caller's HTTP timeout still bounds
let resolveDone!: (v: { status: number; body: unknown }) => void; // the wait, but the *task* survives.
let rejectDone!: (err: Error) => void; const created = await this.tasks.enqueue({
const done = new Promise<{ status: number; body: unknown }>((resolve, reject) => { poolName: effectivePoolName(llm),
resolveDone = resolve; llmName,
rejectDone = reject; model: llm.model,
tier: llm.tier,
requestBody: request as unknown as Record<string, unknown>,
streaming,
ownerId: this.resolveOwner(),
}); });
const pending: PendingTask = { // Try to claim + dispatch immediately if a session is up. If not,
taskId, // the row stays pending for drainPendingForSession to pick up.
sessionId: llm.providerSessionId, const handle = this.sessions.get(llm.providerSessionId);
llmName, if (handle !== undefined && handle.alive) {
streaming, const claimed = await this.tasks.tryClaim(created.id, llm.providerSessionId);
resolveNonStreaming: (body, status) => resolveDone({ status, body }), if (claimed !== null) {
rejectNonStreaming: rejectDone, handle.pushTask({
pushChunk: streaming kind: 'infer',
? (chunk): void => { for (const cb of chunkSubscribers) cb(chunk); } taskId: claimed.id,
: null, llmName,
request,
streaming,
});
}
// tryClaim can return null only if another concurrent enqueue
// (or the GC sweep) already moved the row off pending — leave
// it; drainPendingForSession will reconcile.
}
// Wrap the task service's waitFor into the legacy PendingTaskRef
// shape so existing callers (chat.service, llm-infer route)
// don't need to change. The chunk callback bridges
// InferenceTaskService.events into the on-the-fly subscriber set.
const tasks = this.tasks;
const taskId = created.id;
const subscribers = new Set<(chunk: InferenceTaskChunk) => void>();
// Single bridge listener on the service's emitter; fans out to all
// subscribers locally so we don't pile up listeners on a hot key.
let bridgeUnsub: (() => void) | null = null;
const ensureBridge = (): void => {
if (bridgeUnsub !== null) return;
const onChunk = (chunk: InferenceTaskChunk): void => {
for (const cb of subscribers) cb(chunk);
};
// Subscribe via the public pushChunk path: the service emits on
// its own EventEmitter; we attach a listener here. Use the
// service's events through a side channel — exposed below as
// subscribeChunks for clarity.
bridgeUnsub = tasks.subscribeChunksUnsafe(taskId, onChunk);
}; };
this.tasksById.set(taskId, pending);
handle.pushTask({ const done = (async (): Promise<{ status: number; body: unknown }> => {
kind: 'infer', // waitFor's `done` rejects on cancel/error/timeout. For non-
taskId, // streaming tasks the responseBody IS the body; for streaming
llmName, // the body is null and chunks have already been piped through.
request, const waiter = tasks.waitFor(taskId, INFER_AWAIT_TIMEOUT_MS);
streaming, // If streaming, we must drain the chunks generator concurrently
}); // so chunks aren't dropped just because no one's subscribed yet.
// The real consumer subscribes via onChunk(); their cb fires
// synchronously inside the bridge.
if (streaming) ensureBridge();
const finalRow = await waiter.done;
// Status code: legacy callers expect 200 on success; the worker
// sends its own status via the result POST and we forward it.
// Today, success POSTs come with status=200 and the row's
// responseBody is { status, body }. v5 stores the *body* directly
// on the row; we synthesize a 200 here to match the legacy shape.
return { status: 200, body: finalRow.responseBody };
})();
return { return {
taskId, taskId,
done, done,
onChunk(cb): () => void { onChunk(cb): () => void {
chunkSubscribers.add(cb); subscribers.add(cb);
return () => chunkSubscribers.delete(cb); ensureBridge();
return (): void => {
subscribers.delete(cb);
if (subscribers.size === 0 && bridgeUnsub !== null) {
bridgeUnsub();
bridgeUnsub = null;
}
};
}, },
}; };
} }
@@ -370,22 +539,17 @@ export class VirtualLlmService implements IVirtualLlmService {
rejectDone = reject; rejectDone = reject;
}); });
const pending: PendingTask = { const wake: InMemoryWakeTask = {
taskId, taskId,
sessionId, sessionId,
llmName, llmName,
streaming: false, resolve: (status) => {
// Wake tasks return { ok: true } on success or never resolve at
// all if the publisher dies; the rejectNonStreaming path covers
// the disconnect-mid-wake case via unbindSession.
resolveNonStreaming: (_body, status) => {
if (status >= 200 && status < 300) resolveDone(); if (status >= 200 && status < 300) resolveDone();
else rejectDone(new Error(`wake task returned status ${String(status)}`)); else rejectDone(new Error(`wake task returned status ${String(status)}`));
}, },
rejectNonStreaming: rejectDone, reject: rejectDone,
pushChunk: null,
}; };
this.tasksById.set(taskId, pending); this.wakeTasks.set(taskId, wake);
handle.pushTask({ kind: 'wake', taskId, llmName }); handle.pushTask({ kind: 'wake', taskId, llmName });
@@ -402,32 +566,55 @@ export class VirtualLlmService implements IVirtualLlmService {
} }
completeTask(taskId: string, result: { status: number; body: unknown }): boolean { completeTask(taskId: string, result: { status: number; body: unknown }): boolean {
const t = this.tasksById.get(taskId); // Wake tasks: in-memory map. Resolve and bail.
if (t === undefined) return false; const wake = this.wakeTasks.get(taskId);
this.tasksById.delete(taskId); if (wake !== undefined) {
t.resolveNonStreaming(result.body, result.status); this.wakeTasks.delete(taskId);
return true; wake.resolve(result.status);
return true;
}
// Inference tasks: durable queue. Persist body + flip terminal +
// emit wakeup. Fire-and-forget the DB write; the result POST
// returns 200 either way (the caller's HTTP handler is what cares
// about the eventual emit, not the worker).
if (this.tasks !== undefined) {
void this.tasks.complete(taskId, result.body as Record<string, unknown> | null);
return true;
}
return false;
} }
pushTaskChunk(taskId: string, chunk: { data: string; done?: boolean }): boolean { pushTaskChunk(taskId: string, chunk: { data: string; done?: boolean }): boolean {
const t = this.tasksById.get(taskId); // Wake tasks never receive chunks — they're non-streaming control
if (t === undefined || t.pushChunk === null) return false; // messages. Don't even check the wake map; if the id isn't an
t.pushChunk(chunk); // inference task, just drop the chunk.
if (this.tasks === undefined) return false;
// First chunk for a claimed task → flip claimed → running. Idempotent
// and fire-and-forget; if the row is already running, the CAS in the
// repo just no-ops.
void this.tasks.markRunning(taskId);
this.tasks.pushChunk(taskId, chunk);
if (chunk.done === true) { if (chunk.done === true) {
// For streaming tasks, also resolve the `done` promise so the route // Streaming completion: persist with null body + flip terminal so
// handler can clean up. // the waiter unblocks. The actual content was already streamed
t.resolveNonStreaming(null, 200); // through the chunks channel; nothing to store.
this.tasksById.delete(taskId); void this.tasks.complete(taskId, null);
} }
return true; return true;
} }
failTask(taskId: string, error: Error): boolean { failTask(taskId: string, error: Error): boolean {
const t = this.tasksById.get(taskId); const wake = this.wakeTasks.get(taskId);
if (t === undefined) return false; if (wake !== undefined) {
this.tasksById.delete(taskId); this.wakeTasks.delete(taskId);
t.rejectNonStreaming(error); wake.reject(error);
return true; return true;
}
if (this.tasks !== undefined) {
void this.tasks.fail(taskId, error.message);
return true;
}
return false;
} }
async gcSweep(now: Date = new Date()): Promise<{ markedInactive: number; deleted: number }> { async gcSweep(now: Date = new Date()): Promise<{ markedInactive: number; deleted: number }> {

View File

@@ -193,6 +193,10 @@ describe('ChatService — kind=virtual branch (v3 Stage 1)', () => {
'vllm-local', 'vllm-local',
expect.objectContaining({ messages: expect.any(Array) }), expect.objectContaining({ messages: expect.any(Array) }),
false, false,
// v5: chat.service passes failFast:true so its pool failover loop
// surfaces transport errors quickly instead of waiting on the
// durable queue's 10-min timeout.
{ failFast: true },
); );
}); });
@@ -224,6 +228,7 @@ describe('ChatService — kind=virtual branch (v3 Stage 1)', () => {
'vllm-local', 'vllm-local',
expect.objectContaining({ messages: expect.any(Array), stream: true }), expect.objectContaining({ messages: expect.any(Array), stream: true }),
true, true,
{ failFast: true },
); );
}); });

View File

@@ -0,0 +1,330 @@
/**
* v5 InferenceTaskService — state machine, signal channels, and GC sweep.
* The repo is mocked with an in-memory Map so we exercise the service
* logic deterministically without touching Postgres. Schema-level tests
* live in src/db/tests/inference-task-schema.test.ts.
*/
import { describe, it, expect, vi } from 'vitest';
import type { InferenceTask, InferenceTaskStatus } from '@prisma/client';
import type { IInferenceTaskRepository } from '../src/repositories/inference-task.repository.js';
import { InferenceTaskService } from '../src/services/inference-task.service.js';
function makeRow(overrides: Partial<InferenceTask> = {}): InferenceTask {
return {
id: overrides.id ?? `task-${Math.random().toString(36).slice(2, 8)}`,
status: 'pending',
poolName: 'pool-a',
llmName: 'pool-a',
model: 'qwen3-thinking',
tier: null,
claimedBy: null,
requestBody: { messages: [{ role: 'user', content: 'hi' }] } as unknown as InferenceTask['requestBody'],
responseBody: null,
errorMessage: null,
streaming: false,
createdAt: new Date(),
claimedAt: null,
streamStartedAt: null,
completedAt: null,
ownerId: 'owner-1',
agentId: null,
...overrides,
};
}
function mockRepo(initial: InferenceTask[] = []): IInferenceTaskRepository {
const rows = new Map<string, InferenceTask>(initial.map((r) => [r.id, { ...r }]));
// Tiny CAS helper that mirrors the real `updateMany({where:{status:in}})`
// semantics — only flips the row if the current status matches.
const cas = (id: string, allowed: InferenceTaskStatus[], patch: Partial<InferenceTask>): InferenceTask | null => {
const row = rows.get(id);
if (row === undefined) return null;
if (!allowed.includes(row.status)) return null;
const next = { ...row, ...patch };
rows.set(id, next);
return next;
};
return {
create: vi.fn(async (data) => {
const row = makeRow({
id: `task-${rows.size + 1}`,
poolName: data.poolName,
llmName: data.llmName,
model: data.model,
tier: data.tier ?? null,
requestBody: data.requestBody as InferenceTask['requestBody'],
streaming: data.streaming,
ownerId: data.ownerId,
agentId: data.agentId ?? null,
});
rows.set(row.id, row);
return row;
}),
findById: vi.fn(async (id) => rows.get(id) ?? null),
findPendingForPools: vi.fn(async (poolNames, limit) => {
const out = [...rows.values()]
.filter((r) => r.status === 'pending' && poolNames.includes(r.poolName))
.sort((a, b) => a.createdAt.getTime() - b.createdAt.getTime());
return limit !== undefined ? out.slice(0, limit) : out;
}),
findHeldBy: vi.fn(async (claimedBy) =>
[...rows.values()].filter((r) => r.claimedBy === claimedBy && (r.status === 'claimed' || r.status === 'running')),
),
list: vi.fn(async (filter) => {
let out = [...rows.values()];
if (filter.ownerId !== undefined) out = out.filter((r) => r.ownerId === filter.ownerId);
if (filter.poolName !== undefined) out = out.filter((r) => r.poolName === filter.poolName);
if (filter.agentId !== undefined) out = out.filter((r) => r.agentId === filter.agentId);
if (filter.status !== undefined) {
const statuses = Array.isArray(filter.status) ? filter.status : [filter.status];
out = out.filter((r) => statuses.includes(r.status));
}
out.sort((a, b) => b.createdAt.getTime() - a.createdAt.getTime());
return filter.limit !== undefined ? out.slice(0, filter.limit) : out;
}),
tryClaim: vi.fn(async (id, claimedBy, claimedAt) =>
cas(id, ['pending'], { status: 'claimed', claimedBy, claimedAt }),
),
markRunning: vi.fn(async (id, at) =>
cas(id, ['claimed', 'running'], { status: 'running', streamStartedAt: at }),
),
markCompleted: vi.fn(async (id, body, at) =>
cas(id, ['pending', 'claimed', 'running'], {
status: 'completed',
responseBody: (body ?? null) as InferenceTask['responseBody'],
completedAt: at,
}),
),
markError: vi.fn(async (id, errorMessage, at) =>
cas(id, ['pending', 'claimed', 'running'], { status: 'error', errorMessage, completedAt: at }),
),
markCancelled: vi.fn(async (id, at) =>
cas(id, ['pending', 'claimed', 'running'], { status: 'cancelled', completedAt: at }),
),
revertToPending: vi.fn(async (id) =>
cas(id, ['claimed', 'running'], { status: 'pending', claimedBy: null, claimedAt: null, streamStartedAt: null }),
),
findStalePending: vi.fn(async (cutoff) =>
[...rows.values()].filter((r) => r.status === 'pending' && r.createdAt.getTime() < cutoff.getTime()),
),
findExpiredTerminal: vi.fn(async (cutoff) =>
[...rows.values()].filter((r) =>
(r.status === 'completed' || r.status === 'error' || r.status === 'cancelled')
&& r.completedAt !== null
&& r.completedAt.getTime() < cutoff.getTime(),
),
),
deleteMany: vi.fn(async (ids) => {
let n = 0;
for (const id of ids) if (rows.delete(id)) n += 1;
return n;
}),
};
}
describe('InferenceTaskService — state machine', () => {
it('enqueue creates a pending row with the given pool/llm/model', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({
poolName: 'pool-a',
llmName: 'a-1',
model: 'qwen3',
requestBody: { messages: [] },
streaming: false,
ownerId: 'owner-1',
});
expect(t.status).toBe('pending');
expect(t.poolName).toBe('pool-a');
expect(t.claimedBy).toBeNull();
});
it('tryClaim races: only one of two concurrent claimers gets the row', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({
poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o',
});
// Both workers issue tryClaim at the "same time". The repo's CAS
// serializes them — first claim wins, second sees a non-pending
// row and returns null.
const [a, b] = await Promise.all([svc.tryClaim(t.id, 'sess-A'), svc.tryClaim(t.id, 'sess-B')]);
const winners = [a, b].filter((r) => r !== null);
const losers = [a, b].filter((r) => r === null);
expect(winners).toHaveLength(1);
expect(losers).toHaveLength(1);
expect(winners[0]!.status).toBe('claimed');
expect(['sess-A', 'sess-B']).toContain(winners[0]!.claimedBy);
});
it('complete after claim transitions claimed → completed and stores responseBody', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
await svc.tryClaim(t.id, 'sess-A');
const done = await svc.complete(t.id, { choices: [{ message: { content: 'hi' } }] });
expect(done?.status).toBe('completed');
expect(done?.responseBody).toEqual({ choices: [{ message: { content: 'hi' } }] });
expect(done?.completedAt).not.toBeNull();
});
it('refuses double-complete (idempotent terminal)', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const first = await svc.complete(t.id, { ok: 1 });
expect(first?.status).toBe('completed');
// Second worker tries to complete the same task — CAS rejects because
// the row is no longer in a non-terminal state.
const second = await svc.complete(t.id, { ok: 2 });
expect(second).toBeNull();
// First completion's body is preserved.
const reread = await svc.findById(t.id);
expect(reread?.responseBody).toEqual({ ok: 1 });
});
it('revertHeldBy reverts every claimed/running row owned by a session and leaves terminals alone', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t1 = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const t2 = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const t3 = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
await svc.tryClaim(t1.id, 'sess-A');
await svc.tryClaim(t2.id, 'sess-A');
await svc.markRunning(t2.id);
await svc.tryClaim(t3.id, 'sess-A');
await svc.complete(t3.id, { ok: 1 }); // t3 finished before disconnect
const reverted = await svc.revertHeldBy('sess-A');
expect(reverted.map((r) => r.id).sort()).toEqual([t1.id, t2.id].sort());
expect((await svc.findById(t1.id))?.status).toBe('pending');
expect((await svc.findById(t2.id))?.status).toBe('pending');
// t3 stayed completed — terminal rows are not reverted on disconnect.
expect((await svc.findById(t3.id))?.status).toBe('completed');
});
it('cancel from pending records cancelled and emits terminal event', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const cancelled = await svc.cancel(t.id);
expect(cancelled?.status).toBe('cancelled');
// A subsequent complete must fail (cancelled is terminal).
const result = await svc.complete(t.id, { ok: 1 });
expect(result).toBeNull();
});
});
describe('InferenceTaskService — waitFor signals', () => {
it('resolves immediately when the row is already terminal at subscribe time', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
await svc.complete(t.id, { ok: 1 });
const waiter = svc.waitFor(t.id, 1_000);
const final = await waiter.done;
expect(final.status).toBe('completed');
expect(final.responseBody).toEqual({ ok: 1 });
});
it('wakes a waiter on complete event without polling the DB', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const waiter = svc.waitFor(t.id, 5_000);
// Fire the complete after a microtask so the waiter is definitely
// already subscribed to the terminal event.
setTimeout(() => { void svc.complete(t.id, { ok: 1 }); }, 10);
const final = await waiter.done;
expect(final.status).toBe('completed');
});
it('wakes the chunks generator on pushChunk and ends on terminal', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: true, ownerId: 'o' });
const waiter = svc.waitFor(t.id, 5_000);
setTimeout(() => {
svc.pushChunk(t.id, { data: 'hello ' });
svc.pushChunk(t.id, { data: 'world' });
void svc.complete(t.id, { ok: 1 });
}, 10);
const seen: string[] = [];
for await (const c of waiter.chunks) {
seen.push(c.data);
}
expect(seen).toEqual(['hello ', 'world']);
const final = await waiter.done;
expect(final.status).toBe('completed');
});
it('throws on cancellation with a clear error message', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const waiter = svc.waitFor(t.id, 5_000);
setTimeout(() => { void svc.cancel(t.id); }, 10);
await expect(waiter.done).rejects.toThrow(/cancelled/i);
});
it('throws on error and surfaces the worker\'s errorMessage', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const waiter = svc.waitFor(t.id, 5_000);
setTimeout(() => { void svc.fail(t.id, 'upstream 500'); }, 10);
await expect(waiter.done).rejects.toThrow(/upstream 500/);
});
it('times out when no terminal event arrives within the deadline', async () => {
const repo = mockRepo();
const svc = new InferenceTaskService(repo);
const t = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const waiter = svc.waitFor(t.id, 30);
await expect(waiter.done).rejects.toThrow(/timed out/);
});
});
describe('InferenceTaskService — gcSweep', () => {
it('flips stale pending rows to error AND deletes expired terminal rows', async () => {
const now = new Date('2026-04-28T00:00:00Z');
const fixedClock = (): Date => now;
const repo = mockRepo();
const svc = new InferenceTaskService(repo, fixedClock);
// 90 min old pending — past the 1h pendingTimeout cutoff → error.
const stale = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
// Backdate via direct fixture mutation — easier than wiring a clock through enqueue.
const staleRow = (await svc.findById(stale.id))!;
(staleRow as { createdAt: Date }).createdAt = new Date(now.getTime() - 90 * 60 * 1000);
// 30 min old pending — within window, should not be touched.
const fresh = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
const freshRow = (await svc.findById(fresh.id))!;
(freshRow as { createdAt: Date }).createdAt = new Date(now.getTime() - 30 * 60 * 1000);
// 8 day-old completed — past the 7d retention → delete.
const old = await svc.enqueue({ poolName: 'p', llmName: 'l', model: 'm', requestBody: {}, streaming: false, ownerId: 'o' });
await svc.complete(old.id, { ok: 1 });
const oldRow = (await svc.findById(old.id))!;
(oldRow as { completedAt: Date }).completedAt = new Date(now.getTime() - 8 * 24 * 60 * 60 * 1000);
const result = await svc.gcSweep({
pendingTimeoutMs: 60 * 60 * 1000, // 1h
terminalRetentionMs: 7 * 24 * 60 * 60 * 1000, // 7d
});
expect(result.erroredOut).toBe(1);
expect(result.deleted).toBe(1);
// Stale pending was flipped to error.
const staleAfter = await svc.findById(stale.id);
expect(staleAfter?.status).toBe('error');
expect(staleAfter?.errorMessage).toMatch(/expired in pending/);
// Old completed is gone.
expect(await svc.findById(old.id)).toBeNull();
// Fresh pending untouched.
expect((await svc.findById(fresh.id))?.status).toBe('pending');
});
});

View File

@@ -244,6 +244,9 @@ describe('POST /api/v1/llms/:name/infer', () => {
'claude', 'claude',
expect.objectContaining({ messages: expect.any(Array) }), expect.objectContaining({ messages: expect.any(Array) }),
false, false,
// v5: direct infer route passes failFast:true so a downed publisher
// returns 503 immediately instead of queueing the task durably.
{ failFast: true },
); );
}); });

View File

@@ -1,7 +1,10 @@
import { describe, it, expect, vi } from 'vitest'; import { describe, it, expect, vi } from 'vitest';
import { VirtualLlmService, type VirtualSessionHandle } from '../src/services/virtual-llm.service.js'; import { VirtualLlmService, type VirtualSessionHandle } from '../src/services/virtual-llm.service.js';
import { InferenceTaskService } from '../src/services/inference-task.service.js';
import type { IInferenceTaskService } from '../src/services/inference-task.service.js';
import type { IInferenceTaskRepository } from '../src/repositories/inference-task.repository.js';
import type { ILlmRepository } from '../src/repositories/llm.repository.js'; import type { ILlmRepository } from '../src/repositories/llm.repository.js';
import type { Llm } from '@prisma/client'; import type { Llm, InferenceTask, InferenceTaskStatus } from '@prisma/client';
function makeLlm(overrides: Partial<Llm> = {}): Llm { function makeLlm(overrides: Partial<Llm> = {}): Llm {
return { return {
@@ -15,6 +18,7 @@ function makeLlm(overrides: Partial<Llm> = {}): Llm {
apiKeySecretId: null, apiKeySecretId: null,
apiKeySecretKey: null, apiKeySecretKey: null,
extraConfig: {} as Llm['extraConfig'], extraConfig: {} as Llm['extraConfig'],
poolName: null,
kind: 'virtual', kind: 'virtual',
providerSessionId: 's-1', providerSessionId: 's-1',
lastHeartbeatAt: new Date(), lastHeartbeatAt: new Date(),
@@ -27,6 +31,105 @@ function makeLlm(overrides: Partial<Llm> = {}): Llm {
}; };
} }
/**
* Drop-in mock of `InferenceTaskService` backed by a Map. We mirror just
* enough of the real service's signaling — events for terminal/chunk —
* so VirtualLlmService's enqueue/result flows behave the same way they
* do in production. Nothing here talks to Postgres.
*/
function mockTaskService(): IInferenceTaskService {
// Build a minimal repo for the real InferenceTaskService — that way we
// exercise the actual event-emitter wakeup logic, just without a DB.
const rows = new Map<string, InferenceTask>();
let n = 0;
const repo: IInferenceTaskRepository = {
create: vi.fn(async (data) => {
n += 1;
const row: InferenceTask = {
id: `task-${String(n)}`,
status: 'pending',
poolName: data.poolName,
llmName: data.llmName,
model: data.model,
tier: data.tier ?? null,
claimedBy: null,
requestBody: data.requestBody as InferenceTask['requestBody'],
responseBody: null,
errorMessage: null,
streaming: data.streaming,
createdAt: new Date(),
claimedAt: null,
streamStartedAt: null,
completedAt: null,
ownerId: data.ownerId,
agentId: data.agentId ?? null,
};
rows.set(row.id, row);
return row;
}),
findById: vi.fn(async (id) => rows.get(id) ?? null),
findPendingForPools: vi.fn(async (poolNames: string[]) =>
[...rows.values()].filter((r) => r.status === 'pending' && poolNames.includes(r.poolName)),
),
findHeldBy: vi.fn(async (claimedBy: string) =>
[...rows.values()].filter((r) =>
r.claimedBy === claimedBy
&& (r.status === 'claimed' || r.status === 'running')),
),
list: vi.fn(async () => [...rows.values()]),
tryClaim: vi.fn(async (id, claimedBy, claimedAt) => {
const r = rows.get(id);
if (r === undefined || r.status !== 'pending') return null;
const next = { ...r, status: 'claimed' as InferenceTaskStatus, claimedBy, claimedAt };
rows.set(id, next);
return next;
}),
markRunning: vi.fn(async (id, at) => {
const r = rows.get(id);
if (r === undefined || (r.status !== 'claimed' && r.status !== 'running')) return null;
const next = { ...r, status: 'running' as InferenceTaskStatus, streamStartedAt: at };
rows.set(id, next);
return next;
}),
markCompleted: vi.fn(async (id, body, at) => {
const r = rows.get(id);
if (r === undefined || r.status === 'completed' || r.status === 'error' || r.status === 'cancelled') return null;
const next = { ...r, status: 'completed' as InferenceTaskStatus, responseBody: (body ?? null) as InferenceTask['responseBody'], completedAt: at };
rows.set(id, next);
return next;
}),
markError: vi.fn(async (id, errorMessage, at) => {
const r = rows.get(id);
if (r === undefined || r.status === 'completed' || r.status === 'error' || r.status === 'cancelled') return null;
const next = { ...r, status: 'error' as InferenceTaskStatus, errorMessage, completedAt: at };
rows.set(id, next);
return next;
}),
markCancelled: vi.fn(async (id, at) => {
const r = rows.get(id);
if (r === undefined || r.status === 'completed' || r.status === 'error' || r.status === 'cancelled') return null;
const next = { ...r, status: 'cancelled' as InferenceTaskStatus, completedAt: at };
rows.set(id, next);
return next;
}),
revertToPending: vi.fn(async (id) => {
const r = rows.get(id);
if (r === undefined || (r.status !== 'claimed' && r.status !== 'running')) return null;
const next = { ...r, status: 'pending' as InferenceTaskStatus, claimedBy: null, claimedAt: null, streamStartedAt: null };
rows.set(id, next);
return next;
}),
findStalePending: vi.fn(async () => []),
findExpiredTerminal: vi.fn(async () => []),
deleteMany: vi.fn(async (ids) => {
let c = 0;
for (const id of ids) if (rows.delete(id)) c += 1;
return c;
}),
};
return new InferenceTaskService(repo);
}
function mockRepo(initial: Llm[] = []): ILlmRepository { function mockRepo(initial: Llm[] = []): ILlmRepository {
const rows = new Map<string, Llm>(initial.map((l) => [l.id, l])); const rows = new Map<string, Llm>(initial.map((l) => [l.id, l]));
let counter = rows.size; let counter = rows.size;
@@ -38,6 +141,14 @@ function mockRepo(initial: Llm[] = []): ILlmRepository {
return null; return null;
}), }),
findByTier: vi.fn(async () => []), findByTier: vi.fn(async () => []),
findByPoolName: vi.fn(async (poolName: string) => {
const out: Llm[] = [];
for (const l of rows.values()) {
if (l.poolName === poolName) out.push(l);
else if (l.poolName === null && l.name === poolName) out.push(l);
}
return out;
}),
findBySessionId: vi.fn(async (sid: string) => findBySessionId: vi.fn(async (sid: string) =>
[...rows.values()].filter((l) => l.providerSessionId === sid)), [...rows.values()].filter((l) => l.providerSessionId === sid)),
findStaleVirtuals: vi.fn(async (cutoff: Date) => findStaleVirtuals: vi.fn(async (cutoff: Date) =>
@@ -105,7 +216,7 @@ function fakeSession(): VirtualSessionHandle & { tasks: Array<unknown>; alive: b
describe('VirtualLlmService', () => { describe('VirtualLlmService', () => {
it('register inserts new virtual rows with active status + sessionId', async () => { it('register inserts new virtual rows with active status + sessionId', async () => {
const repo = mockRepo(); const repo = mockRepo();
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const { providerSessionId, llms } = await svc.register({ const { providerSessionId, llms } = await svc.register({
providerSessionId: null, providerSessionId: null,
providers: [ providers: [
@@ -122,7 +233,7 @@ describe('VirtualLlmService', () => {
it('register reuses the same row on sticky reconnect (same name + sessionId)', async () => { it('register reuses the same row on sticky reconnect (same name + sessionId)', async () => {
const repo = mockRepo(); const repo = mockRepo();
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const first = await svc.register({ const first = await svc.register({
providerSessionId: 'fixed-id', providerSessionId: 'fixed-id',
providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }], providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }],
@@ -140,7 +251,7 @@ describe('VirtualLlmService', () => {
it('register refuses to overwrite a public LLM with the same name', async () => { it('register refuses to overwrite a public LLM with the same name', async () => {
const repo = mockRepo([makeLlm({ name: 'qwen3-thinking', kind: 'public', providerSessionId: null })]); const repo = mockRepo([makeLlm({ name: 'qwen3-thinking', kind: 'public', providerSessionId: null })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
await expect(svc.register({ await expect(svc.register({
providerSessionId: 'sess-x', providerSessionId: 'sess-x',
providers: [{ name: 'qwen3-thinking', type: 'openai', model: 'm' }], providers: [{ name: 'qwen3-thinking', type: 'openai', model: 'm' }],
@@ -149,7 +260,7 @@ describe('VirtualLlmService', () => {
it('register refuses if another active session owns the name', async () => { it('register refuses if another active session owns the name', async () => {
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'other', status: 'active' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'other', status: 'active' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
await expect(svc.register({ await expect(svc.register({
providerSessionId: 'mine', providerSessionId: 'mine',
providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }], providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }],
@@ -161,7 +272,7 @@ describe('VirtualLlmService', () => {
name: 'vllm-local', providerSessionId: 'old-session', name: 'vllm-local', providerSessionId: 'old-session',
status: 'inactive', inactiveSince: new Date(), status: 'inactive', inactiveSince: new Date(),
})]); })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const { llms } = await svc.register({ const { llms } = await svc.register({
providerSessionId: 'new-session', providerSessionId: 'new-session',
providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }], providers: [{ name: 'vllm-local', type: 'openai', model: 'm' }],
@@ -177,7 +288,7 @@ describe('VirtualLlmService', () => {
name: 'vllm-local', providerSessionId: 'sess', status: 'inactive', name: 'vllm-local', providerSessionId: 'sess', status: 'inactive',
lastHeartbeatAt: past, inactiveSince: past, lastHeartbeatAt: past, inactiveSince: past,
})]); })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
await svc.heartbeat('sess'); await svc.heartbeat('sess');
const row = await repo.findByName('vllm-local'); const row = await repo.findByName('vllm-local');
expect(row?.status).toBe('active'); expect(row?.status).toBe('active');
@@ -191,7 +302,7 @@ describe('VirtualLlmService', () => {
makeLlm({ name: 'b', providerSessionId: 'sess' }), makeLlm({ name: 'b', providerSessionId: 'sess' }),
makeLlm({ name: 'c', providerSessionId: 'other' }), makeLlm({ name: 'c', providerSessionId: 'other' }),
]); ]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
await svc.unbindSession('sess'); await svc.unbindSession('sess');
expect((await repo.findByName('a'))?.status).toBe('inactive'); expect((await repo.findByName('a'))?.status).toBe('inactive');
@@ -201,7 +312,7 @@ describe('VirtualLlmService', () => {
it('enqueueInferTask pushes a task frame to the SSE session', async () => { it('enqueueInferTask pushes a task frame to the SSE session', async () => {
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const session = fakeSession(); const session = fakeSession();
svc.bindSession('sess', session); svc.bindSession('sess', session);
@@ -218,26 +329,41 @@ describe('VirtualLlmService', () => {
expect(t.streaming).toBe(false); expect(t.streaming).toBe(false);
}); });
it('enqueueInferTask rejects when the publisher is offline (no session bound)', async () => { it('enqueueInferTask queues the task when no session is bound (durable, drains on bind)', async () => {
// v5 semantic change: with a durable queue underneath, "no worker
// up" no longer rejects — the row stays pending and a future
// bindSession drains it. Caller's HTTP handler awaits on ref.done
// and bounds itself with INFER_AWAIT_TIMEOUT_MS; from the service's
// POV the enqueue itself succeeds.
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const tasks = mockTaskService();
await expect( const svc = new VirtualLlmService(repo, undefined, tasks);
svc.enqueueInferTask('vllm-local', { model: 'm', messages: [] }, false), const ref = await svc.enqueueInferTask('vllm-local', { model: 'm', messages: [] }, false);
).rejects.toThrow(/no live SSE session|publisher offline/); expect(ref.taskId).toMatch(/^task-/);
// The row exists and is still pending — no claim happened.
const row = await tasks.findById(ref.taskId);
expect(row?.status).toBe('pending');
expect(row?.claimedBy).toBeNull();
}); });
it('enqueueInferTask rejects when the row is inactive', async () => { it('enqueueInferTask still queues against an inactive row (pool may have a sibling worker)', async () => {
// v5 semantic change: status=inactive on a specific Llm doesn't
// mean the pool is dead — another mcplocal publishing the same
// poolName might be active. The dispatcher's bindSession drain
// matches by poolName, so even a "dead" pin queues correctly.
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess', status: 'inactive', inactiveSince: new Date() })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess', status: 'inactive', inactiveSince: new Date() })]);
const svc = new VirtualLlmService(repo); const tasks = mockTaskService();
svc.bindSession('sess', fakeSession()); const svc = new VirtualLlmService(repo, undefined, tasks);
await expect( const ref = await svc.enqueueInferTask('vllm-local', { model: 'm', messages: [] }, false);
svc.enqueueInferTask('vllm-local', { model: 'm', messages: [] }, false), const row = await tasks.findById(ref.taskId);
).rejects.toThrow(/inactive|publisher offline/); expect(row?.status).toBe('pending');
// No frame pushed because no session is bound.
expect(row?.claimedBy).toBeNull();
}); });
it('enqueueInferTask rejects when the LLM is public (not virtual)', async () => { it('enqueueInferTask rejects when the LLM is public (not virtual)', async () => {
const repo = mockRepo([makeLlm({ name: 'qwen3-thinking', kind: 'public', providerSessionId: null })]); const repo = mockRepo([makeLlm({ name: 'qwen3-thinking', kind: 'public', providerSessionId: null })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
await expect( await expect(
svc.enqueueInferTask('qwen3-thinking', { model: 'm', messages: [] }, false), svc.enqueueInferTask('qwen3-thinking', { model: 'm', messages: [] }, false),
).rejects.toThrow(/not a virtual provider/); ).rejects.toThrow(/not a virtual provider/);
@@ -245,7 +371,7 @@ describe('VirtualLlmService', () => {
it('completeTask resolves the pending non-streaming promise', async () => { it('completeTask resolves the pending non-streaming promise', async () => {
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
const ref = await svc.enqueueInferTask( const ref = await svc.enqueueInferTask(
'vllm-local', 'vllm-local',
@@ -258,7 +384,7 @@ describe('VirtualLlmService', () => {
it('streaming: pushTaskChunk fans chunks to subscribers; done resolves the ref', async () => { it('streaming: pushTaskChunk fans chunks to subscribers; done resolves the ref', async () => {
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
const ref = await svc.enqueueInferTask( const ref = await svc.enqueueInferTask(
'vllm-local', 'vllm-local',
@@ -278,7 +404,7 @@ describe('VirtualLlmService', () => {
it('failTask rejects the pending promise with a clear error', async () => { it('failTask rejects the pending promise with a clear error', async () => {
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
const ref = await svc.enqueueInferTask( const ref = await svc.enqueueInferTask(
'vllm-local', 'vllm-local',
@@ -289,17 +415,34 @@ describe('VirtualLlmService', () => {
await expect(ref.done).rejects.toThrow(/upstream blew up/); await expect(ref.done).rejects.toThrow(/upstream blew up/);
}); });
it('unbindSession rejects in-flight tasks for that session', async () => { it('unbindSession reverts claimed inference tasks to pending (durable re-queue, not reject)', async () => {
// v5 semantic change: a worker disconnecting mid-task no longer
// *rejects* the task. The row goes back to pending so another
// worker on the same pool can pick it up. The original caller's
// ref.done keeps waiting up to its 10-min INFER_AWAIT_TIMEOUT_MS;
// the same caller is what gets the result whichever worker
// ultimately delivers it.
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]); const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const svc = new VirtualLlmService(repo); const tasks = mockTaskService();
const svc = new VirtualLlmService(repo, undefined, tasks);
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
const ref = await svc.enqueueInferTask( const ref = await svc.enqueueInferTask(
'vllm-local', 'vllm-local',
{ model: 'm', messages: [{ role: 'user', content: 'hi' }] }, { model: 'm', messages: [{ role: 'user', content: 'hi' }] },
false, false,
); );
// After enqueue with a session up, the task is claimed.
let row = await tasks.findById(ref.taskId);
expect(row?.status).toBe('claimed');
expect(row?.claimedBy).toBe('sess');
await svc.unbindSession('sess'); await svc.unbindSession('sess');
await expect(ref.done).rejects.toThrow(/publisher disconnected/);
// After disconnect, claimed/running rows revert to pending — ready
// for the next worker to drain.
row = await tasks.findById(ref.taskId);
expect(row?.status).toBe('pending');
expect(row?.claimedBy).toBeNull();
}); });
it('gcSweep flips heartbeat-stale active virtuals to inactive', async () => { it('gcSweep flips heartbeat-stale active virtuals to inactive', async () => {
@@ -309,7 +452,7 @@ describe('VirtualLlmService', () => {
makeLlm({ name: 'stale', providerSessionId: 'a', status: 'active', lastHeartbeatAt: long }), makeLlm({ name: 'stale', providerSessionId: 'a', status: 'active', lastHeartbeatAt: long }),
makeLlm({ name: 'fresh', providerSessionId: 'b', status: 'active', lastHeartbeatAt: recent }), makeLlm({ name: 'fresh', providerSessionId: 'b', status: 'active', lastHeartbeatAt: recent }),
]); ]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const result = await svc.gcSweep(); const result = await svc.gcSweep();
expect(result.markedInactive).toBe(1); expect(result.markedInactive).toBe(1);
expect((await repo.findByName('stale'))?.status).toBe('inactive'); expect((await repo.findByName('stale'))?.status).toBe('inactive');
@@ -324,7 +467,7 @@ describe('VirtualLlmService', () => {
makeLlm({ name: 'recent', providerSessionId: 'b', status: 'inactive', inactiveSince: fresh }), makeLlm({ name: 'recent', providerSessionId: 'b', status: 'inactive', inactiveSince: fresh }),
makeLlm({ name: 'public-survivor', providerSessionId: null, kind: 'public' }), makeLlm({ name: 'public-survivor', providerSessionId: null, kind: 'public' }),
]); ]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const result = await svc.gcSweep(); const result = await svc.gcSweep();
expect(result.deleted).toBe(1); expect(result.deleted).toBe(1);
expect(await repo.findByName('old')).toBeNull(); expect(await repo.findByName('old')).toBeNull();
@@ -336,7 +479,7 @@ describe('VirtualLlmService', () => {
it('hibernating: dispatches a wake task first and waits for it to complete before infer', async () => { it('hibernating: dispatches a wake task first and waits for it to complete before infer', async () => {
const repo = mockRepo([makeLlm({ name: 'sleeping', providerSessionId: 'sess', status: 'hibernating' })]); const repo = mockRepo([makeLlm({ name: 'sleeping', providerSessionId: 'sess', status: 'hibernating' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const session = fakeSession(); const session = fakeSession();
svc.bindSession('sess', session); svc.bindSession('sess', session);
@@ -370,7 +513,7 @@ describe('VirtualLlmService', () => {
it('hibernating: concurrent infer requests share a single wake task', async () => { it('hibernating: concurrent infer requests share a single wake task', async () => {
const repo = mockRepo([makeLlm({ name: 'sleeping', providerSessionId: 'sess', status: 'hibernating' })]); const repo = mockRepo([makeLlm({ name: 'sleeping', providerSessionId: 'sess', status: 'hibernating' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const session = fakeSession(); const session = fakeSession();
svc.bindSession('sess', session); svc.bindSession('sess', session);
@@ -398,7 +541,7 @@ describe('VirtualLlmService', () => {
it('hibernating: rejects when the wake task fails', async () => { it('hibernating: rejects when the wake task fails', async () => {
const repo = mockRepo([makeLlm({ name: 'broken', providerSessionId: 'sess', status: 'hibernating' })]); const repo = mockRepo([makeLlm({ name: 'broken', providerSessionId: 'sess', status: 'hibernating' })]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
svc.bindSession('sess', fakeSession()); svc.bindSession('sess', fakeSession());
const inferPromise = svc.enqueueInferTask( const inferPromise = svc.enqueueInferTask(
@@ -408,12 +551,12 @@ describe('VirtualLlmService', () => {
); );
await new Promise((r) => setTimeout(r, 0)); await new Promise((r) => setTimeout(r, 0));
// Get the wake task id from the in-flight tasks map (its only entry). // v5: wake tasks live in `wakeTasks` (in-memory). Inference tasks
// We test the failure path via failTask which is part of the public // moved to the DB-backed queue but wake is publisher-control work
// surface used by the result-POST route handler. // that doesn't need durability — we kept the in-memory map for it.
const taskIds: string[] = []; const taskIds: string[] = [];
// eslint-disable-next-line @typescript-eslint/no-explicit-any // eslint-disable-next-line @typescript-eslint/no-explicit-any
for (const id of (svc as any).tasksById.keys()) taskIds.push(id); for (const id of (svc as any).wakeTasks.keys()) taskIds.push(id);
expect(taskIds).toHaveLength(1); expect(taskIds).toHaveLength(1);
expect(svc.failTask(taskIds[0]!, new Error('wake recipe failed'))).toBe(true); expect(svc.failTask(taskIds[0]!, new Error('wake recipe failed'))).toBe(true);
@@ -424,14 +567,28 @@ describe('VirtualLlmService', () => {
expect(row?.status).toBe('hibernating'); expect(row?.status).toBe('hibernating');
}); });
it('inactive: still rejects with 503 (publisher offline) — wake path only fires for hibernating', async () => { it('inactive: queues without firing the wake path — wake only triggers on status=hibernating', async () => {
// Coverage for the v5 inactive-vs-hibernating distinction.
// hibernating = "publisher told us the backend is asleep, ask
// them to wake it"; inactive = "publisher itself is offline".
// For inactive rows, queueing is the right behavior (wait for a
// worker on the pool to come online and drain). The wake path
// must NOT fire — wake is opt-in via the publisher's register
// payload, not a generic "row is down" recovery.
//
// No session bind here: an "inactive" row in production means
// unbindSession already flipped it after SSE close. Binding a
// session for the same providerSessionId would be a contradictory
// setup that the test wouldn't model anything real about.
const repo = mockRepo([makeLlm({ name: 'gone', providerSessionId: 'sess', status: 'inactive', inactiveSince: new Date() })]); const repo = mockRepo([makeLlm({ name: 'gone', providerSessionId: 'sess', status: 'inactive', inactiveSince: new Date() })]);
const svc = new VirtualLlmService(repo); const tasks = mockTaskService();
svc.bindSession('sess', fakeSession()); const svc = new VirtualLlmService(repo, undefined, tasks);
await expect( const ref = await svc.enqueueInferTask('gone', { model: 'm', messages: [] }, false);
svc.enqueueInferTask('gone', { model: 'm', messages: [] }, false), // Task queued in pending; no claim, no frame.
).rejects.toThrow(/inactive|publisher offline/); const row = await tasks.findById(ref.taskId);
expect(row?.status).toBe('pending');
expect(row?.claimedBy).toBeNull();
}); });
it('gcSweep is idempotent — running twice in a row is a no-op the second time', async () => { it('gcSweep is idempotent — running twice in a row is a no-op the second time', async () => {
@@ -439,11 +596,75 @@ describe('VirtualLlmService', () => {
const repo = mockRepo([ const repo = mockRepo([
makeLlm({ name: 'stale', providerSessionId: 'a', status: 'active', lastHeartbeatAt: long }), makeLlm({ name: 'stale', providerSessionId: 'a', status: 'active', lastHeartbeatAt: long }),
]); ]);
const svc = new VirtualLlmService(repo); const svc = new VirtualLlmService(repo, undefined, mockTaskService());
const first = await svc.gcSweep(); const first = await svc.gcSweep();
const second = await svc.gcSweep(); const second = await svc.gcSweep();
expect(first.markedInactive).toBe(1); expect(first.markedInactive).toBe(1);
expect(second.markedInactive).toBe(0); expect(second.markedInactive).toBe(0);
expect(second.deleted).toBe(0); expect(second.deleted).toBe(0);
}); });
// ── v5: durable queue + drain-on-bind ──
it('bindSession drains pending inference tasks owned by the session\'s pool keys', async () => {
// Two enqueues land while no session is bound. Each row is created
// with status=pending; no SSE frame goes anywhere. When the worker
// finally binds, the drain loop claims both and pushes the frames.
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess', poolName: 'qwen-pool' })]);
const tasks = mockTaskService();
const svc = new VirtualLlmService(repo, undefined, tasks);
const ref1 = await svc.enqueueInferTask('vllm-local', { model: 'm', messages: [{ role: 'user', content: 'one' }] }, false);
const ref2 = await svc.enqueueInferTask('vllm-local', { model: 'm', messages: [{ role: 'user', content: 'two' }] }, false);
// Both rows are still pending — no worker bound yet.
expect((await tasks.findById(ref1.taskId))?.status).toBe('pending');
expect((await tasks.findById(ref2.taskId))?.status).toBe('pending');
// Worker shows up. Drain runs synchronously enough that we just
// need to flush the microtask queue before checking SSE frames.
const session = fakeSession();
svc.bindSession('sess', session);
// drainPendingForSession is fired with `void` so let microtasks
// settle before asserting.
await new Promise((r) => setTimeout(r, 0));
expect((session.tasks as Array<{ kind: string; taskId: string }>).map((t) => t.taskId).sort())
.toEqual([ref1.taskId, ref2.taskId].sort());
// Rows are now claimed by this session.
expect((await tasks.findById(ref1.taskId))?.status).toBe('claimed');
expect((await tasks.findById(ref1.taskId))?.claimedBy).toBe('sess');
});
it('drain-on-bind matches the effective pool key, not just llm.name', async () => {
// The pinned Llm has name=vllm-alice but poolName=qwen-pool.
// Enqueue against vllm-alice → row.poolName=qwen-pool.
// Worker binds with a session that owns vllm-alice (same pool key).
// Drain must surface this row even though poolName != name.
const repo = mockRepo([makeLlm({ name: 'vllm-alice', providerSessionId: 'sess', poolName: 'qwen-pool' })]);
const tasks = mockTaskService();
const svc = new VirtualLlmService(repo, undefined, tasks);
const ref = await svc.enqueueInferTask('vllm-alice', { model: 'm', messages: [] }, false);
expect((await tasks.findById(ref.taskId))?.poolName).toBe('qwen-pool');
const session = fakeSession();
svc.bindSession('sess', session);
await new Promise((r) => setTimeout(r, 0));
expect((session.tasks as Array<{ taskId: string }>).map((t) => t.taskId)).toEqual([ref.taskId]);
});
it('completeTask via the result-route updates the DB row + emits the wakeup', async () => {
// End-to-end through the public surface: enqueue → claim happens
// because session is bound → worker POSTs result → completeTask
// routes to InferenceTaskService.complete → ref.done resolves.
const repo = mockRepo([makeLlm({ name: 'vllm-local', providerSessionId: 'sess' })]);
const tasks = mockTaskService();
const svc = new VirtualLlmService(repo, undefined, tasks);
svc.bindSession('sess', fakeSession());
const ref = await svc.enqueueInferTask('vllm-local', { model: 'm', messages: [] }, false);
expect(svc.completeTask(ref.taskId, { status: 200, body: { ok: true } })).toBe(true);
await expect(ref.done).resolves.toEqual({ status: 200, body: { ok: true } });
const row = await tasks.findById(ref.taskId);
expect(row?.status).toBe('completed');
expect(row?.responseBody).toEqual({ ok: true });
});
}); });