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[Bugfix][KV Offloading] Defer stores until block IDs are tracked - #133

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yatesdr:fix/offload-store-ready-prefix-v19
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yatesdr wants to merge 1 commit into
local-inference-lab:fix/gg-rebased-cutlass453-sm120-20260718from
yatesdr:fix/offload-store-ready-prefix-v19

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@yatesdr

@yatesdr yatesdr commented Jul 19, 2026

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[Bugfix][KV Offloading] Defer stores until block IDs are tracked

Purpose

Fix a fatal OffloadingConnector._build_store_jobs assertion when KV pressure
causes eviction/preemption while tiered offloading and async scheduling are
active.

The store path currently derives num_chunks from token progress, then assumes
that two independently maintained collections have reached the same boundary:

  • content-hash-derived offload_keys; and
  • scheduler-propagated physical GPU block_ids.

Eviction/preemption can expose a transient state where the token-derived store
boundary is ahead of one of those collections. The resulting slices have
different lengths, and this assertion terminates EngineCore:

assert len(offload_keys) == len(offload_block_ids)

This change computes a ready boundary independently for every KV group:

min(
    num_storable_chunks,
    len(group_state.offload_keys),
    len(group_state.block_ids) // blocks_per_chunk,
)

Only that common ready prefix is offered to the offload manager. Store progress
also advances only through the capped boundary, so a lagging chunk is retried
after its key and complete set of source block IDs are tracked. This is
important: merely removing the assertion and relying on zip() would avoid the
crash but could advance the cursor past an unstored chunk, silently losing it.

When all three state sources are synchronized, the ready boundary equals the
existing token-derived boundary and behavior is unchanged.

Production evidence

The failure was reproduced on a GLM-5.2 hybrid deployment using TP4/DCP4,
MTP3, async scheduling, TieringOffloadingSpec, and a 644,864-token GPU KV
pool:

  • concurrency 16 x 50k context (~800k active tokens): fatal assertion during
    eviction;
  • concurrency 32 sweep: same assertion;
  • concurrency 16 x 16k and concurrency <= 8 x 50k: no assertion while active
    demand remained below the pool;
  • BF16, E4M3, and block-INT8 collective modes all reproduced the failure,
    ruling out the collective wire codec.

The deployed downstream vLLM commit is 7ea567a2458a4800a6a0e3e0a6ba41fcbd00d146.
The complete patch applies cleanly to that commit as well as current upstream
main.

Test Plan

  1. Reproduce the lag directly in the existing OffloadingConnector scheduler
    fixture: make three chunks storable while only two GPU block IDs are tracked.
  2. Verify the first store job contains the two ready chunks and advances only
    to chunk two.
  3. Add the third block ID and verify a second store job retries exactly chunk
    three.
  4. Run the complete neighboring scheduler suite, including async/sync
    scheduling, request finish, preemption, reset, MTP/EAGLE, hybrid groups, and
    sliding-window cases.
  5. Run all repository pre-commit hooks applicable to the changed files.
  6. Before submission, repeat the original above-pool workload on the target
    deployment and verify zero assertion, zero EngineDeadError, no restart,
    and successful request completion.

Test Result

Completed locally:

pytest tests/v1/kv_connector/unit/offloading_connector/test_scheduler.py
92 passed, 15 warnings in 40.95s
pre-commit run --files <scheduler.py> <test_scheduler.py>
all applicable hooks passed
  • git diff --check: passed.
  • Patch applicability against deployed v19 commit 7ea567a: passed.
  • The new regression passes and proves the deferred chunk is retried rather
    than skipped.

Target-box overflow reproduction:

  • Patched image SHA-256 began with 41078d5f; the mounted scheduler SHA-256
    began with a68a28e5.
  • Deployment: block-INT8 wire mode, offloading enabled with 64 GB host DRAM,
    480k maximum model length, 16 maximum sequences, 0.970 GPU memory
    utilization, TP4/DCP4/MTP3, and a 611,840-token boot KV pool.
  • 16/16 unique-prefix requests completed successfully with
    finish_reason=stop; each carried approximately 49,800 prompt tokens.
  • Active demand reached approximately 797k tokens against a 611,840-token GPU
    KV pool, forcing the eviction path that crashed the unpatched connector.
  • Prefix-cache metrics recorded 797,218 queries and zero hits, confirming that
    the requests were freshly prefilled rather than cache-served.
  • RestartCount remained 0 -> 0 under a one-second watcher; container identity
    and StartedAt remained unchanged throughout the 11-minute run.
  • No _build_store_jobs assertion, EngineDeadError, OOM, HTTP 5xx, or request
    error occurred.
  • A post-load liveness request returned the expected answer 4 from the same
    engine instance. The container ID, StartedAt, and RestartCount=0 remained
    unchanged.

All production acceptance criteria passed.

No model evaluation is required for this change because it does not alter model
weights, kernels, logits, sampling, or transferred KV values. It changes only
when scheduler metadata declares a store chunk ready. The target overflow gate
above remains required because it validates the production scheduler lifecycle.

Non-duplication

Open-PR searches and fetched git-history searches for the assertion, store
boundary, and preemption/block-ID terms found no existing fix as of 2026-07-19.

PR #48596 is related but not
duplicative: it fixes final-block storage and a block-reuse race at request
finish. Both the deployed commit and current upstream main include that change
while retaining the failing length assertion addressed here.

AI assistance disclosure

OpenAI Codex assisted with failure analysis, patch preparation, and regression
test development. The commit contains an Assisted-by trailer. The production
overflow validation remains a merge gate and its results will be added here.

Bound each group store boundary by storable tokens, available keys, and complete tracked GPU-block chunks. Advance store progress only through the common ready prefix so transient tracking lag is retried.

Assisted-by: OpenAI Codex

Signed-off-by: Derek Yates <derek.yates@live.com>
@github-actions

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@yatesdr
yatesdr marked this pull request as ready for review July 19, 2026 21:44
@voipmonitor
voipmonitor deleted the branch local-inference-lab:fix/gg-rebased-cutlass453-sm120-20260718 July 20, 2026 12:40
@yatesdr

yatesdr commented Jul 21, 2026

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Author

Feedback please on no merge close?

@voipmonitor

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Closing this PR without a published replacement was a process mistake.

What happened:

Resolution:

Prevention for future PR consolidation:

  1. Verify base.ref and merge-base against the canonical branch before publishing.
  2. Open, validate, and link the replacement PR before closing the old PR.
  3. Track every migration as old PR -> replacement PR -> tested commit; a local branch is not a published replacement.
  4. Never close a superseded fix without a comment linking its replacement or explicitly stating that the patch was intentionally dropped.

No implementation from #133 is intentionally being discarded; #153 is its cleaner and more thoroughly validated successor.

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