[YeonwooSung]

Main already wakes idle workers on admission after #807. This PR additionally dispatches a lone pending request without the positive coalescing timer, including requests containing several items. Multiple pending requests on the selected batcher retain the bounded tail window. Completed requests and requests on another LoRA batcher do not hold a new request.

Integration update (2026-10-19): ff8e65e6fa9ec378a1dc6140a5945997658ec049 normally merges main f27d528fca7daa272f03c9e5590014846849ce84 into the prior head 1661625e64d67024e8471a75fcde474b03c46bd3. The resolution retains the finite ready-callback checkpoint and main's admission, shutdown and cancellation paths. The combined source passed 404 affected CPU tests plus lint, formatting and scoped type checks. The L4 measurements below remain evidence for the exact earlier a7c024f6 source, not a new GPU or performance result for this integration. Fresh CI and review apply to the combined head; the existing human changes-requested hold and unmet strict burst criterion remain.

The latest candidate adds one finite ready-callback checkpoint before the lone-head recheck. A transport callback that is already runnable can create an ASGI submission task; completing the checkpoint's Future puts the waiting worker behind that newly runnable task. Cancellation cancels the completion callback safely. Later bodies or asynchronous preparation can still miss the checkpoint, so this does not promise fusion of every HTTP burst.

The exact new measured candidate is a7c024f6f53cce0f8e43825845c5ad6965c9c792, a direct descendant of the existing PR head 8845eab5274ad571e0270c9d8c842035b5b5a426. The original author and commit history are preserved. Any later main integration or benchmark packaging commit must be identified separately from the measured source.

A fixed same-device comparison ran six balanced triplets of original timed coalescing (b0c26b02), prior sleep(0) (8845eab5), and the candidate (a7c024f6): ABC, CBA, BCA, ACB, CAB, BAC. All 18 fresh-server trials completed through the actual SIE HTTP API and sie_sdk.SIEClient on one L4 with 8 CPU cores and 32 GiB memory. All arms used the pinned public GLiClass checkpoint, identical FP16/default-profile graph settings, asyncio, and four intra-op/one inter-op Torch threads. Full outputs, wire bytes, request identities, timing headers, and worker batch joins were retained for all 119,432 calls.

Measurement	Original timed window	Prior sleep(0)	Ready-callback candidate
Sequential queue below 1 ms	0/600	600/600	600/600
Per-trial queue p95 range	3.84–4.27 ms	0.11–0.13 ms	0.13–0.17 ms
C8 idle bursts fused	24/24	3/24	18/24
C32 idle bursts fused	0/24	0/24	0/24

Candidate/original throughput geometric ratios were 1.01095 at C8 (pointwise 95% interval 0.99637–1.02574) and 1.00010 at C32 (0.97286–1.02811). Candidate/prior ratios were 0.99319 and 0.98980. The complete evidence report contains all 18 trial rows, all six raw process-pair ratios in both directions, every burst pattern, and artifact hashes. Six pairs on one device, with no predefined equivalence margin, do not establish statistical equivalence or a speed guarantee.

All classification label sets, ordered labels, winning labels, and other nonnumeric output structure were unchanged. Sequential outputs were exact. Across all phases the maximum direct score difference was 0.00390625 in every arm, with the same maximum range within each arm's repeated outputs. These differences are reported without introducing a new quality tolerance.

The strict issue requirement that every concurrent HTTP burst forms one batch remains unfulfilled: six candidate C8 bursts split [1, 7], and all C32 bursts split in every arm. The method records completed_valid: true separately from qualification_passed: false. The human changes-requested hold remains. This result supplies the requested same-GPU sequential/C8/C32 evidence for review of the latency/coalescing tradeoff; it does not close the issue automatically.

Prior evidence remains part of the record. The prior PR description reported negative C32 deltas in all three original-versus-0649b283 pairs (−2.85%, −2.16%, −1.64%); these earlier reported values are retained as historical context, not a new raw-data recomputation. The subsequent six-trial yield experiment (f556494c, production-identical to 8845eab5) kept sub-millisecond sequential queues but split C8 bursts [1, 7] in 11/12 cases. Its unchanged raw result SHA256 is 0c89a0b4693cffe29225415eace97e6551c2b426ca4eb99693b5da75c347ed4b. These were separate allocations and are not pooled with the new result. The new protocol's first attempt failed before inference on a cache mount-alias verifier defect; that failure and its narrowly corrected CPU controls remain retained.

Source validation: 255 related worker/batcher cases passed, with focused finite-generation, late-body, cancellation, and lone-request controls on asyncio and installed uvloop. Four relevant controls fail against the prior sleep(0) implementation. Standard lint and scoped type checks passed. The existing public tools/benchmarks/idle_worker/ two-arm harness and history remain unchanged. The report specifies the three-arm method and explicitly discloses that its additional full-wire/ownership tooling is not yet a public one-command reproducer. Fresh full CI and exact-head review are still required for any published integration head.

The new experiment used knowledgator/gliclass-large-v1.0 revision ae8a18644e84cfda53325bd91c7941f2f6fd0ccb, Python 3.12.12, Torch 2.9.1+cu129, Transformers 4.57.6, GLiClass 0.1.17, gliformer 0.1.2, httpx 0.28.1, and uvicorn 0.46.0. Balanced order does not remove shared-device thermal/cache/JIT or process variation. The HTTP observations cover the Python worker, not the queue-only gateway/sidecar path. Provider shutdown, empty tasks, local process reap, and lease release were verified.

A subsequent bounded diagnostic on one L4 added synchronous tracing of HTTP body completion, parsed/prepared item IDs, admission, extraction limits, and logical adapter forwards. It used the same original and candidate source revisions and pinned runtime, with four warmup calls and one C8/C32 burst per arm: 88 actual SDK sends, 88 complete response/body joins, and no retries. This is a separate instrumented diagnostic, not another performance qualification.

Diagnostic worker batches	Original timed window	Ready-callback candidate
C8	[8]	[1, 7]
C32	[16, 16]	[17, 15]

Every observed extraction selected all then-admitted items. The cost/request caps remained 16,384/64; no pending item was excluded by those caps. For each split, the missing requests' header and body-complete callbacks occurred after the first extraction. In the candidate C8 case, only the head was pending at both ready-checkpoint entry and exit. Separately, the flat-label GLiClass adapter partitioned selected worker batches into logical forward chunks of at most eight rows. No already-admitted item was left behind, and no missing request had reached its recorded header/body-complete callback before the first selection. The trace does not identify client, socket, kernel-readiness, or event-loop causes of the later callbacks, or explain historical splits.

Synchronous tracing and the short warmup history can change scheduling. The strict one-batch burst criterion remains unmet, and the prior numerical/throughput verdicts and human review hold remain unchanged. The single owned app was verified stopped with zero containers and no tasks, all owned local processes were reaped, and all three resource leases were released. The retained diagnostic archive SHA256 is b2a965a05507f9b0c6837bf0a65d44e9ce869eee8c48a0f323b207ac5ef52818; its frozen analyzer completed all joins with qualification_passed: false.

Related to #373.

Summary by CodeRabbit

• New Features
  • Idle requests now dispatch without waiting for a coalescing window; pending follow-up requests can still be grouped, with the wait bounded by the configured maximum.
  • Added a benchmark for comparing worker performance across source revisions, including latency, throughput, and batch-trace results.
• Documentation
  • Clarified idle batching behavior and documented how to prepare and run the benchmark.

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• packages/sie_server/src/sie_server/core/worker/model_worker.py
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📝 Walkthrough

The worker dispatches a lone idle request immediately and applies the configured coalescing window when multiple requests remain pending on the same batcher. An event replaces idle polling. New benchmark tools compare two revisions using worker HTTP timings and batch traces.

Changes: Idle Batch Dispatch

Layer / File(s)	Summary
Idle window contract and pending counts packages/sie_server/src/sie_server/config/engine.py, packages/sie_server/src/sie_server/core/worker/types.py, packages/sie_server/src/sie_server/core/batcher.py	Configuration descriptions define idle_coalesce_ms as a tail window for requests pending on the same batcher. pending_count reports pending items, and pending_request_count reports distinct pending requests.
Worker batch selection packages/sie_server/src/sie_server/core/worker/model_worker.py	The worker signals an event on submission and shutdown, and waits on the event instead of polling when no batch is pending. While idle, it dispatches one pending request immediately and applies the capped window when multiple requests remain pending on the selected batcher.
Batching behavior tests packages/sie_server/tests/core/test_worker_core.py, packages/sie_server/tests/core/test_worker_drain.py	Tests cover callback cancellation, lone-request dispatch, tail fusion, already-pending bursts, zero-window dispatch, sequential requests, and arrivals on different LoRAs. Drain tests use partner requests to hold the coalescing window and check pending item counts.

Idle Worker Benchmark

Layer / File(s)	Summary
Revision snapshot preparation tools/benchmarks/idle_worker/prepare.py, tools/benchmarks/idle_worker/tests/test_prepare.py	The preparation script archives selected paths for two revisions, checks lockfiles, and writes a manifest with commit IDs and hashes. A test checks that the manifest records resolved commits if a branch moves during preparation.
Local server and trial measurements tools/benchmarks/idle_worker/server.py, tools/benchmarks/idle_worker/run.py	The local server records batch sizes and request IDs. The runner validates snapshots, executes warmup, sequential, burst, and throughput phases, and stores timing and environment results.
Benchmark validation and report tools/benchmarks/idle_worker/README.md, tools/benchmarks/idle_worker/tests/test_run.py, tools/benchmarks/idle_worker/.gitignore, tools/benchmarks/idle_worker/ready_generation_result.md	The README documents benchmark setup, phases, trace handling, and outputs. Tests validate timing extraction, percentile calculation, and failure handling. The report contains trial results and observed batch patterns. Generated inputs and results are ignored.

Sequence Diagram(s)

sequenceDiagram
  participant Submitter
  participant ModelWorker
  participant Batcher
  Submitter->>ModelWorker: Submit items
  ModelWorker->>Batcher: Add items to selected batcher
  ModelWorker->>ModelWorker: Signal work-availability event
  ModelWorker->>Batcher: Check pending request count
  Batcher-->>ModelWorker: Return pending request count
  ModelWorker->>ModelWorker: Yield to ready callbacks when one request is pending
  ModelWorker->>Batcher: Select batch immediately or after idle window

Loading

Priority: ➖ Normal

Merge Risk: 🟡 Moderate · up to 16616

Some concurrent requests still split across batches when the worker is idle. The stated full-fusion requirement remains unmet, so that tradeoff needs explicit acceptance before merge.

Security architecture risk: 🔵 Low · up to 16616

The change affects request timing without an identified expansion of access or privileges. Security-relevant cleanup remains in place, but behavior under cancellation and concurrent load was assessed from source rather than independently validated at runtime.

Retained concerns
No architecture-level concerns identified.

Security review details

Security Blast Radius

• inferred — The changed attackable behavior is scheduling of requests already admitted to a model worker and its shared inference capacity. Inspection did not identify a new authority transition or cross-service access path. LoRA batch separation alone does not establish tenant isolation; deployment-level tenant mapping remains outside the supplied evidence.

Trust Boundaries and Controls

• observed — Direct submission retains running-state and queue-capacity checks before insertion. Dispatch still selects one LoRA batcher and holds the existing adapter-dispatch lock while setting the active LoRA and processing its batch. The internal wake event does not replace those controls.

Resilience and Maintainability Implications

• observed — Existing failure-containment ownership remains: extracted batches register in-flight ownership, unfinished futures receive failure settlement, and shutdown drains queued and abandoned work with metadata-identity deduplication. Base-to-head inspection did not identify a changed cleanup owner or new terminal-state gap.

Pre-merge checks: 4 · 1

Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 44.78% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 67 functions across 11 files. (1 skipped:…	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

Check name	Status	Explanation
Linked Issues check		Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.
Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title clearly and concisely describes the main change: dispatching a lone idle request without waiting for the coalescing window.

Full details: Docstring Coverage

Explanation

Docstring coverage is 44.78% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 67 functions across 11 files. (1 skipped: 1 unsupported.)

Resolution

Write docstrings for the functions missing them to satisfy the coverage threshold.

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[krisztian-gajdar]

Thanks, the event-based wakeup looks right to me, and the tests drive the real worker and batcher without patching the clock. A few things before merge:

1. Multi-item requests. selected.pending_count == 1 (model_worker.py:1147) counts pending items, not requests, because submit_many adds one entry per item. A lone request with two or more items (batch encode, a multi-document rerank, multi-item extract) still waits the full window. Could you decide "alone" per request and add a multi-item test?
2. Tail check. _follows_recent_arrival compares against the previous submit even after that request has finished, so a sequential client sending faster than the window still waits. The timestamps are also worker-wide while pending_count is per LoRA batcher. Please either adjust this or document it in the docstring.
3. Throughput. The staggered-burst test now expects [1, 3] instead of one fused batch. #373 asks that throughput under concurrent load stays within noise, so a short before and after on one GPU (sequential queue time, plus throughput at 8 and 32 in flight) would let us accept that trade.
4. Small. The "instead of polling every 1 ms" comment at model_worker.py:288-289 narrates the change, and the drain tests seed _last_arrival_at directly. Parking them with a two-item submit would avoid reaching into private state.

[YeonwooSung]

Addressed on 8dfac7b.

1. Multi-item requests. Alone is one request, not one queue entry. submit_many still adds one pending item per input, and those items share one metadata object. BatchFormer.pending_request_count counts distinct metadata. One pending request is dispatched immediately, however many items it carries. test_multi_item_request_does_not_wait_the_idle_window does one submit of two items with idle_coalesce_ms=200 and finishes well under that window, as one forward of 2. Several requests already pending still form one batch (test_already_queued_burst_fuses expects [4]).

2. Tail check. The worker-wide arrival timestamps are gone. A follow-up is a tail only while another request on that same batcher is still pending (it has arrived and has not been dispatched). A finished request does not hold the next one: test_sequential_request_does_not_wait_the_idle_window awaits the first, submits the next immediately, and the second finishes well under a 200ms window. A different LoRA's arrival does not hold this batcher: test_other_lora_arrival_does_not_hold_this_batcher.

3. Throughput. nvidia-smi is not installed here (command not found), so this machine has no GPU I can measure. I am not reporting a before/after and I am not claiming a GPU result. The unit test that documents the two-forward split is unchanged in what it asserts: test_staggered_burst_fuses_with_idle_window still expects [1, 3].

4. Small. Removed the "instead of polling every 1 ms" comment. The event note only records that stop() sets it so an idle loop unblocks. Drain tests no longer write a private arrival timestamp. A two-item submit is a single request and would now dispatch immediately, so it cannot keep work parked until stop(). The drain helper submits a second request on the same batcher through the public submit() API, which is what the idle window holds.

Default idle_coalesce_ms is still 3. Batcher cost ordering is unchanged.

pytest packages/sie_server/tests/core/test_worker_core.py packages/sie_server/tests/core/test_worker_drain.py — 42 passed.

[krisztian-gajdar]

Thanks, counting distinct requests and dropping the arrival timestamps fix both points, and the new tests cover them.

Understood on the GPU. The throughput question still has to be answered before this can merge, because with the new rule a burst that is not already queued costs at least two forwards. So this will stay open until a before and after measurement on one GPU is available (sequential queue time, plus throughput at 8 and 32 in flight).

One test issue in the meantime: test_staggered_burst_shreds_without_idle_window (test_worker_core.py:713) still submits with a 5 ms stagger. Under the new rule that stagger also splits with the idle window on, so the test no longer shows what the window adds, and its docstring's "the same stagger as test_staggered_burst_fuses_with_idle_window" no longer holds since that test now uses the queued-tail pattern. Reusing the fusing test's pattern with idle_coalesce_ms=0 would make it a real contrast.

Optional: test_already_queued_burst_fuses patches the private _ensure_process_loop_started, and pending_request_count could be checked only when the worker was idle and idle_coalesce_ms > 0.

[YeonwooSung]

The throughput hold stands. I ran command -v nvidia-smi, which printed nvidia-smi: not found, and invoking nvidia-smi exited 127 with command not found. This machine has no NVIDIA GPU, so there is no sequential queue time and no throughput at 8 or 32 in flight. I am not reporting a before/after and I am not claiming a GPU result. I did not add a benchmark script. A burst that is not already queued still costs at least two forwards, and this stays open until that measurement exists on one GPU.

test_staggered_burst_shreds_without_idle_window no longer uses a 5 ms stagger. It now follows the queued-tail shape of test_staggered_burst_fuses_with_idle_window, with the same coalesce settings and idle_coalesce_ms=0. The head runs alone. Two requests are queued before the loop selects, and one more arrives 10 ms later. With the window on, that tail is held and the later arrival joins ([1, 3]). With the window off, the already-queued pair is dispatched immediately (pending_count is 0 after 10 ms) and the later arrival is its own forward ([1, 2, 1]). The fuse test is unchanged.

test_already_queued_burst_fuses still patches _ensure_process_loop_started. ModelWorker.start() does not start the batch loop; the loop starts lazily on the first submit, and that private helper is the only method that creates the task. There is no public way to queue several requests and then start the loop, so the patch stays.

pending_request_count was read on every selection, including the busy path and idle_coalesce_ms=0. It is now read only when the worker was idle and idle_coalesce_ms > 0; the and short-circuits otherwise. Dispatch behavior is otherwise the same. The default idle_coalesce_ms is still 3, and batcher cost ordering is unchanged.

pytest packages/sie_server/tests/core/test_worker_core.py packages/sie_server/tests/core/test_worker_drain.py — 42 passed. Commit de5cb67.

[svonava]

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Actionable comments posted: 2

🔇 Additional comments: 10

packages/sie_server/src/sie_server/core/batcher.py: 1

240-255: LGTM!

packages/sie_server/src/sie_server/core/worker/model_worker.py: 1

288-289: LGTM!

Also applies to: 416-416, 994-994, 1094-1121, 1136-1158, 1213-1216

packages/sie_server/tests/core/test_worker_core.py: 1

79-80: LGTM!

Also applies to: 589-594, 611-658, 660-715, 717-747, 757-762, 771-778, 795-838, 844-849, 862-862, 877-880, 882-921, 923-967, 969-1006

packages/sie_server/tests/core/test_worker_drain.py: 1

49-52: LGTM!

Also applies to: 126-130, 138-157, 172-173, 194-195, 216-217

tools/benchmarks/idle_worker/run.py: 1

87-87: Guard the shared latencies list or use per-lane lists.

lane() appends to one shared list from many threads. list.append is atomic in CPython, so the data stays correct. This is only a note on the pattern.

tools/benchmarks/idle_worker/server.py: 1

1-50: LGTM!

tools/benchmarks/idle_worker/tests/test_run.py: 1

1-39: LGTM!

tools/benchmarks/idle_worker/.gitignore: 1

1-2: LGTM!

tools/benchmarks/idle_worker/README.md: 1

19-21: 📐 Maintainability & Code Quality

The README identifies the benchmark revisions as baseline b0c26b02… and candidate f556494c…. The runnable-submission regression baseline 0649b283… does not establish which revisions produced the benchmark results. No repository evidence links the reported benchmark results to b0c26b02…, so this concern cannot be decided from the available evidence.

tools/benchmarks/idle_worker/run.py-38-45: 1

38-45: 🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win

⚠️ Unverified finding
Verification ran but could not confirm this finding. It is shown for review, not as a verified issue.

Fix the p95 index calculation.

ordered[min(len(values) - 1, int(len(values) * 0.95))] over-estimates the percentile. For n=100 it returns index 95, the 96th value. The nearest-rank p95 is index 94. The effect is small and only affects the reported p95.

Proposed fix

-        "p95": ordered[min(len(values) - 1, int(len(values) * 0.95))],
+        "p95": ordered[max(0, math.ceil(len(values) * 0.95) - 1)],

Add import math to the imports.

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Review comments at @tools/benchmarks/idle_worker/prepare.py:
- Line 43: Update the source_diff calculation to pass the resolved baseline and
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Review comments at @tools/benchmarks/idle_worker/run.py:
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• packages/sie_server/src/sie_server/config/engine.py
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• packages/sie_server/src/sie_server/core/worker/model_worker.py
• packages/sie_server/src/sie_server/core/worker/types.py
• packages/sie_server/tests/core/test_worker_core.py
• packages/sie_server/tests/core/test_worker_drain.py
• tools/benchmarks/idle_worker/.gitignore
• tools/benchmarks/idle_worker/README.md
• tools/benchmarks/idle_worker/__init__.py
• tools/benchmarks/idle_worker/prepare.py
• tools/benchmarks/idle_worker/run.py
• tools/benchmarks/idle_worker/server.py
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[svonava]

@coderabbitai review

The two actionable benchmark findings and the p95 indexing comment are fixed in 8845eab. Eleven CPU tests, public lint, scoped typecheck and independent diff review passed. Production scheduling source remains exactly the GPU-measured f556494; the PR body now reports nearest-rank p95 from the original samples. The existing human requested-changes review remains in place for the measured scheduling tradeoff.

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[svonava]

The measured ready-callback follow-up and complete 18-trial evidence report are now included. The measured production revision is a7c024f6f53cce0f8e43825845c5ad6965c9c792; the later report commit changes documentation only and preserves the original PR history.

All 18 fixed trials and 119,432 requests completed on one L4. The candidate kept 600/600 sequential queue samples below 1 ms (per-trial p95 0.13–0.17 ms). C8 fusion was 18/24, versus 3/24 for the prior sleep(0) head and 24/24 for original timed coalescing. Six candidate C8 bursts still split [1, 7]; all C32 bursts split in every arm. The strict full-fusion criterion remains unfulfilled.

Candidate/original throughput ratios were 1.01095 at C8 (pointwise 95% interval 0.99637–1.02574) and 1.00010 at C32 (0.97286–1.02811). These six process pairs do not establish equivalence without a defined margin. Outputs retained the same ordered/winning labels; the maximum score difference was 0.00390625 in every arm, including each arm's own repeats. No new quality tolerance is asserted.

The report includes every trial, ratio, burst pattern, prior negative evidence, hashes, and the limits of reproducing this three-arm run with the existing public two-arm harness. Worker batch records do not identify physical CUDA shapes or the cause of individual HTTP splits. The original human review hold and qualification_passed: false remain; this update does not close #373.

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[svonava]

@krisztian-gajdar, the requested same-GPU sequential/C8/C32 comparison is now in the complete report. The measured source is a7c024f; current head 1661625 adds only that report.

All 15 check runs, including CI / Required, are now successful on exact head 1661625e64d67024e8471a75fcde474b03c46bd3. CodeRabbit approved that exact head.

The candidate kept all 600 sequential queue samples below 1 ms. It fused 18/24 C8 bursts, versus 3/24 with the prior yield and 24/24 with original timed coalescing. All C32 bursts split in every arm. The six paired throughput intervals and complete output differences are retained without asserting equivalence or introducing a quality margin.

The remaining review decision is whether this bounded ready-callback checkpoint is an acceptable incremental implementation of the issue proposal's immediate-head/coalesced-tail behavior, while leaving the stricter one-batch-per-HTTP-burst acceptance item open. If that strict item is required for this PR, the hold remains justified. The evidence does not establish why individual C32 bursts split: nominal capacity fits, but active adaptive thresholds and ingress/dispatch decisions were not recorded.

The human changes-requested hold remains in place. This handoff does not request automatic issue closure or substitute for human re-review.

[krisztian-gajdar]

Thanks @svonava for running the comparison and @YeonwooSung for the implementation. The numbers are clear: sequential queue time drops to about 0.1 ms and throughput holds at C8 and C32.

We are not taking this as an incremental step though. The one-batch-per-burst item in #373 is required for this PR, and C8 bursts now fuse 18 of 24 times against 24 of 24 with the timed window, so the hold stays until a revision keeps the immediate head without giving up that fusion.

Two other things for the next revision:

1. The branch now conflicts with main in model_worker.py, since #807 landed the idle wakeup. Please merge origin/main.
2. Please drop tools/benchmarks/idle_worker/ready_generation_result.md. The other harnesses under tools/benchmarks/ ship without a results file, and the numbers are already in the PR body. The harness README also still names f556494c as the measured candidate, while a7c024f6 is the revision that was measured.