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[Bugfix][Core][Spec Decode] Enable prefix caching for the Kimi K3 DFlash drafter - #6

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[Bugfix][Core][Spec Decode] Enable prefix caching for the Kimi K3 DFlash drafter#6
rchalamala wants to merge 203 commits into
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@rchalamala rchalamala commented Jul 29, 2026

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Purpose

A Kimi K3 DFlash lane does not work in vLLM today. With --enable-prefix-caching it dies on the first request:

AssertionError: SlidingWindowManager does not support fine-grained (partial) cache hits

Without prefix caching it survives, but every turn of a multi-turn agentic workload re-reads a ~33,000-token prompt, which is not a usable lane either. This PR is the set of changes needed to make it run.

The root cause of the assertion is that the DFlash drafter declares all of its layers sliding_attention. That builds a SlidingWindowSpec group whose manager cannot serve the fine-grained partial hits the hybrid coordinator hands it. Booking those layers as FullAttentionSpec for KV-accounting purposes — while still enforcing the window at compute time — removes the group that cannot take the hits, and the rest of the changes are the fallout and adjacent defects found on the way.

Based on kimi-k3 rather than main, since the K3 model wiring this lane needs lands there (vllm-project#50000). Only commit 7 touches K3 model code; the other seven are model-independent and apply to main unchanged.

Prefix caching

  1. Bound the rejection sampler per-block argmax gather. tl.argmax is reduced over the padded lane count and the resulting index gathers from a companion tensor sized to the real block count, unclamped and unmasked, at two sites in rejection_sampler_utils.py. A padded lane cannot win on value, but it wins when a real lane holds NaN, since Triton's argmax combine is false in both comparisons for an unordered operand. Needed for the lane to survive V2 warmup at depth 16.
  2. Reconcile hybrid prefix-cache hits across every KV cache group. Disables fine-grained hits when a group needs block alignment, and trims every downward-closed group to the reconciled hit rather than only attention_groups[0] — commit 3 creates a second full-attention group, and the truncation assumed there was one. Declares downward-closure as a manager property instead of repeating an isinstance check per site, and shares the predicate and the truncation with the Mooncake store mirror so the two cannot drift.
  3. Let an all-sliding DFlash drafter book its KV as full attention. The change that actually buys the cache. sliding_window is preserved on the converted spec because FlashAttentionMetadataBuilder.build reads the window off the spec; dropping it would silently enforce no window at all. Derived from the drafter's own layer types and the caching state rather than gated on an environment variable.
  4. Reconcile the connector's dense reference across full-attention groups. With two dense groups at different block sizes, the eviction guard and the reported hit length are different questions: max over dense hits for the guard, since a group is only evidence of eviction if it hit deeper than every dense group; min for the reported length, since it must be a length every returned block list covers. Both collapse to the previous behaviour with a single full-attention group.

Speculative decoding correctness

  1. Reserve spec-decode lookahead blocks in V2 warmup, matching what KVCacheManager.allocate_slots actually reserves. The reservation now derives from VllmConfig.num_lookahead_tokens, the same property the scheduler reads, rather than from a second copy of the rule.
  2. Require all requests to be decoding before dispatching a uniform-decode CUDA graph. A chunked prefill whose final chunk equals 1 + num_speculative_tokens otherwise gets a decode graph replayed over prompt tokens — wrong output, silently.
  3. Tap the pre-norm AttnRes mixture as the K3 DFlash aux hidden state.

Diagnostics

  1. Warn when --block-size is silently discarded by backend alignment. Omitting the flag does not fall back to the block-size default; it lands on the MLA floor of 128, so any value at or below 128 is indistinguishable from passing nothing. This cost us a day of chasing an acceptance difference that was a serving flag.

One environment variable remains, VLLM_KIMI_K3_AUX_ATTN_RES_STREAM, gating commit 7 and defaulting off. It changes model behaviour, which probably belongs in SpeculativeConfig; it is a flag here so the change could be A/B'd on a single container. Happy to convert it before merge.

Test Plan

Unit tests, all new or extended by this PR:

pytest tests/v1/core/prefix_cache/test_partial_prefix_cache_hits.py \
       tests/v1/spec_decode/test_dflash_draft_full_attention_spec.py \
       tests/v1/worker/test_gpu_warmup_blocks.py \
       tests/v1/worker/test_uniform_decode_token_count.py \
       tests/v1/kv_connector/unit/test_mooncake_store_coordinator.py \
       tests/models/kimi_k3/test_aux_attn_res_stream.py

The warmup test validates _reserved_block_count against the real KVCacheManager.allocate_slots rather than against a hand-computed number, so it cannot drift from the allocator it is predicting. It does so for a full-attention group alongside one Mamba group per cache mode — "none", "all" and "align".

End to end: Kimi K3, 8x B300, TP8, DFlash drafter at k=16, --enable-prefix-caching, V2 model runner, marlin MoE. Multi-turn agentic trajectory replay with ~33,000-token prompts, swept at 1/4/8/16 concurrent users for 120 s per level. Patch liveness confirmed from the boot log rather than from the source tree, since a patched file on disk is not evidence the running process carries it.

Test Result

Unit: 98 tests, of which 95 were run against this tree and pass. The remaining 3 are parametrizations of a shared fixture that fetches facebook/opt-125m, which the offline test environment cannot reach; they are untouched by this PR. The 26 warmup cases were run on a CUDA box, the rest on CPU.

Boot: clean with prefix caching enabled. Engine init 251.6 s, KV pool 1,870,846 tokens, attention block size 1920. All eight workers log the drafter's full-attention booking, and commit 2's "disabling fine-grained hits" warning never fires — the drafter no longer forms a sliding-window group, which is the mechanism being fixed.

The assertion is gone. Before this PR the same configuration dies on request one.

Caching, same container, only the gate changed:

before after
prefix cache hit rate 46.5% 95.5%
TTFT p50 3.45 s 0.91 s
requests / 120 s 22 50
completion throughput 146 314 tok/s/GPU

Sweep on the agentic workload, zero failed requests at every level:

concurrent users requests failed prefix cache hit rate TTFT p50 decode p50
1 76 0 93.5% 1.05 s 161.5 tok/s/user
4 101 0 91.6% 1.80 s 59.8
8 144 0 90.1% 2.18 s 25.6
16 127 0 83.0% 2.37 s 14.2

Hit rate holds above 83% out to 16 users and TTFT stays near a second on a 33k prompt. Reproduced on three machines, the third built from a written recipe rather than by hand.

What this does not claim. Draft acceptance is not claimed to improve. Acceptance moves with an unrelated serving flag (--block-size, via the MLA alignment floor — see commit 8), and no contribution from these changes has been isolated. Commit 7's +1.903 accept length was measured with prefix caching off; with caching on it is +0.083, inside the noise, and it is included for the mechanism rather than the number.

DFlash also still trails an unspeculated lane at 8 concurrent users on this workload. That is the compute cost of running sixteen sequential drafter forwards, not a caching problem, and nothing here addresses it.

Known gaps.

  • Commit 4 is not exercised end to end, as we have no KV-connector deployment. It is covered by a unit test that pins the returned pair as internally consistent, which is a weaker claim than a live connector.
  • Commit 1's tests are guards rather than regression tests: the original failure was found by reading the kernel and never deliberately reproduced.
  • Commit 7's unit test covers which weights the tap selects, including the pipeline-parallel fallback. It does not assert the mixture against what the drafter was trained on; the evidence for that is the measured accept-length A/B, not a test.
  • Withdrawn: an earlier revision of this description said a correctness eval (AIME 2025) was running and that I would post the result. That run did not complete and no eval has been run against this branch. Treat correctness here as unvalidated beyond the unit tests and the serving sweep above.

brandonpelfrey and others added 9 commits July 29, 2026 17:23
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Signed-off-by: Brandon Pelfrey <bpelfrey@nvidia.com>
Co-authored-by: Cyrus Leung <tlleungac@connect.ust.hk>
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@rchalamala rchalamala changed the title [Spec Decode] Kimi K3 DFlash: make prefix caching work [Spec Decode] Kimi K3 DFlash: make it work in vLLM Jul 30, 2026
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…he group

`HybridKVCacheCoordinator` gets two things wrong once a model carries more
than one full-attention-typed group, and both are reachable on a hybrid
mamba model with a sliding-window group.

**Fine-grained hits are enabled for groups that cannot take them.** The
coordinator switches on partial prefix-cache hits whenever the model has a
mamba "align" group whose block size exceeds the prefix match unit, then
hands *every* group a hash-granularity `alignment_tokens`. A manager that
does not set `supports_fine_grained_hash_lookup` indexes `block_hashes` in
units of its own block size, so this is not something it can accept.
`SlidingWindowManager.find_longest_cache_hit` asserts against exactly this,
and the assertion is reachable: a mamba "align" group plus a sliding-window
group whose block size exceeds the prefix match unit raises AssertionError
out of `KVCacheManager.get_computed_blocks` on the first request and kills
the engine core. Reproduced with hash unit 2, SWA block 4 / window 4, mamba
"align" block 4.

That assertion guards a real invariant rather than an unimplemented feature.
With it compiled out under `python -O`, the right-to-left block scan reads
raw hash entries at block indices: at scale factor 2 it matched the block
covering tokens [0, 4) and returned it at position 1 (tokens [4, 8)),
reporting an 8-token hit backed by [null, wrong block] where the truth was
[block0, block1]. Opting sliding window in soundly needs a block-size hash
view for the full-block scan, a partial-tail cache entry, hash-granularity
`reachable_block_mask` reachability, and a contiguous-block requirement that
varies with the tail length, so this does not attempt it. The coordinator
instead enables partial hash hits only when every group's manager either
supports fine-grained lookup or already has hash-sized blocks, and warns once
when it backs off. The fallback is the scheduler-block-aligned path every
non-mamba hybrid already takes, so the mamba group loses its partial hits
rather than correctness.

**Only the first group is trimmed to the reconciled hit.** The fixed-point
loop reconciles a common hit length and then truncates per-group block lists,
but visits `attention_groups[0]` alone. Sorting puts full attention first, so
with one such group that is the whole set. With a second it is not: full
attention takes the downward-closed shortcut and is not re-queried on later
iterations, so it keeps the longer list from its own earlier pass.
`add_local_computed_blocks` then extends the request's block table with every
block returned and sets `num_cached_block` accordingly, so the request treats
blocks past the reconciled boundary as its own and writes into shared
prefix-cache blocks it does not own. Reproduced against the real coordinator
rebuilt on CPU over 800 randomized group layouts and block-pool states: 412
cases returned a group whose list outran the reconciled hit, including one
where the reconciled hit was 0 tokens and the group still returned 12 blocks.

No in-tree model reaches the second defect today, since the sort guarantees a
single full-attention group. A later commit in this series creates a second
one by booking an all-sliding DFlash drafter's KV as full attention, so this
generalises the invariant before it is broken rather than after.

Both fixes are applied in the external-store mirror as well. It carries its
own copy of the reconciliation and had the same single-group assumption, and
the two must agree or the connector computes external hit lengths at a
different alignment from core.

Rather than leave four independent derivations of the same two questions, the
predicate and the truncation are hoisted into `kv_cache_utils` as
`partial_hash_hits_enabled` and `truncate_downward_closed_groups`. Both are
spec-level, which is what lets core and the connector share them; the
connector never had live managers, which is why it had grown its own copy.
The truncation takes a `block_size_of` callback because the coordinator's
manager block size is DCP-scaled and a spec-level caller's is not -- one of
the ways the two copies had already drifted.
`SingleTypeKVCacheManager.is_downward_closed` declares the property on the
class beside `supports_fine_grained_hash_lookup`, so a future downward-closed
spec type is trimmed automatically instead of reproducing this a fifth time.
The scheduler asks the coordinator instead of recomputing: its copy had
already diverged, still emitting a sub-block prefill stop to register a mamba
partial-tail entry for a configuration the coordinator would no longer accept
one for. Not a correctness break, since an extra stop can only shorten a
chunk, but a wasted iteration and a short final prefill chunk per request.

`SlidingWindowSpec.max_admission_blocks_per_request` is deliberately left at
`cdiv(num_tokens, block_size) + 1`: the partial-hit copy-on-write block added
outside the admission cap is gated on `num_local_computed_tokens %
block_size != 0`, and sliding window is never handed such a length -- its own
hit length is a block multiple by construction, and the reconciled length is
now always scheduler-block-aligned. A `+2` would over-reserve startup memory
for a path that cannot run.

Two corners of the gate are unreachable in tree and left as such: a
`CrossAttentionManager` group would trip it but raises `NotImplementedError`
unconditionally so it never participates in a lookup, and out-of-tree specs
registered through `register_custom_kv_cache_specs` default the flag to False
and are gated the same way. Relaxing the assertion alone is not a cheaper
alternative: `SlidingWindowManager.reachable_block_mask` carries the same
block-alignment assertion and computes `per_segment = segment_tokens //
block_size`, which is zero under a finer alignment and raises
`ZeroDivisionError`.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
…ttention

vllm-project#47914 added multi-KV-group support for DFlash drafters that mix sliding and
full attention, gated on

    0 < num_sliding < len(layer_types)

A drafter whose layers are *all* `sliding_attention` falls outside that gate.
It still produces a `SlidingWindowSpec` group, and `SlidingWindowManager`
does not set `supports_fine_grained_hash_lookup`, so on a hybrid model that
also has a mamba "align" group the coordinator hands it a hash-granularity
alignment it cannot accept. Before the preceding commit's gate that raised
`AssertionError` out of `KVCacheManager.get_computed_blocks` on the first
request; with the gate the engine survives but the whole model loses partial
hits. Either way such a lane runs with prefix caching effectively off. On
Kimi K3, whose DFlash drafter has six all-sliding layers, that means
re-reading a ~33,000-token prompt on every turn of a multi-turn agentic
workload.

A sliding-window drafter does not need a sliding-window KV *spec*. Booking
its layers as `FullAttentionSpec` gives the group a manager that supports
fine-grained lookup and lets it participate in prefix caching normally. The
`sliding_window` field is carried onto the converted spec and is load-bearing
rather than decorative: `FlashAttentionMetadataBuilder.build` reads the
window off the spec, so a conversion that dropped it would silently enforce
no window at all.

The conversion is derived from two conditions rather than exposed as a knob.
The first is a property of the drafter -- all-sliding is exactly the case
`_dflash_needs_multi_kv_group` excludes -- so the model reads it off its own
layer types. The second is prefix caching: with it off there is nothing to
gain, and the conversion is not free, so it is taken only when it pays. A
flag would have been the wrong mechanism regardless of the predicate, since
it changes KV cache layout: that belongs in the boot line an operator reads,
should be validated at parse time, and should be settable per engine rather
than per process. It would also not have entered
`SpeculativeConfig.compute_hash`, so two runs differing only in it would
produce different KV layouts under one cache identity.

The trade is real and taken deliberately. A full-attention group is budgeted
at `max_model_len` where a sliding-window group is budgeted at its window, so
the conversion inflates the per-request KV budget that gates startup; and
`FullAttentionManager` retains every block it allocates where
`SlidingWindowManager` frees those that fall out of the window, so a long
generation holds its whole history. Correctness is unaffected, since the
window is still enforced at compute time and only block bookkeeping changes.
Retaining those blocks is precisely what lets the drafter reuse a cached
prefix, and a drafter that cannot re-prefills it on every request -- the
larger cost of the two on any workload with shared prefixes, which is the
workload this lane exists to serve.

Also collapses the two spec constructors into one. They took the same nine
keyword arguments and had to stay field-identical, which is exactly the
invariant a copy-paste pair loses -- and the field most likely to be dropped
is `sliding_window`, where the failure is silent.

Measured on Kimi K3, 8x B300, TP8, DFlash k=16, on a multi-turn agentic
workload with ~33k-token prompts, one concurrent user, same container with
only this conversion changed:

    prefix cache hit rate   46.5%  ->  95.5%
    TTFT p50                3.45 s ->  0.91 s
    requests per 120 s      22     ->  50
    completion throughput   146    ->  314 tokens/s/GPU

Reproduced on a second machine.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
…attention groups

`get_computed_blocks_for_connector` compared every group's hit against the
first full-attention group. A model can carry more than one -- a DFlash
drafter booking its sliding-window layers as full attention adds a second at
a smaller block size -- and the finer-grained one hits deeper whenever the
reconciled hit is not a multiple of the coarser block size, so the comparison
read a sibling's legitimate deeper hit as eviction and gave up the fast path
on most hits.

The eviction test and the reported length are two different questions and
need two different reductions. A group is only evidence of eviction if it hit
deeper than *every* dense group, so the guard takes the max. The returned
blocks come from the per-group lookup at each group's own hit rather than a
reconciled one, so the reported length has to be one every dense group's list
actually covers, which is the min; the max would name a boundary the coarser
group's blocks fall short of. Both reduce to the previous behaviour when
there is a single full-attention group.

Lowering the reported length is not sufficient on its own. A dense group that
hit deeper keeps a block list longer than the reported length covers, and the
scheduler hands the pair to `add_local_computed_blocks` unchanged, so the
request's block table is extended past the reported boundary with blocks it
does not own -- the defect the reconciling path's truncation already exists
to prevent. Reuse that truncation rather than open-code it.

It skips groups that are not downward-closed, which is load-bearing here
rather than incidental: a mamba hit list is null-padded with only the tail
carrying the state, so looked up at 12 it is [null, null, state@12] while a
genuine lookup at 8 is [null, state@8]. Dropping its tail would discard the
state rather than shorten the hit, so widening the truncation to every group
would be a bug. The test asserts the block-count invariant over the
full-attention groups for the same reason.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
…dary

In "align" mode a mamba state block can be entered into the prefix cache
under a hash whose token boundary the state it holds does not correspond
to. Prefill never does this; decode does it at every block boundary it
crosses. A request that hits such a block restores a recurrent state that
falls short of, or runs past, the prefix the entry claims to represent.

The prefix cache keys mamba block `j` to the hash of the prefix ending at
`(j + 1) * block_size` and registers it with that many hash tokens, so a
request restoring from it resumes as if exactly that many tokens had been
consumed. During prefill that holds, because
`Scheduler._mamba_block_aligned_split` clips every chunk onto a block
boundary. During decode it does not: that function returns early on every
decode step, while caching keeps happening at each boundary the step
passes. What the block actually holds is the state after the tokens that
step scheduled, which under speculation also covers draft tokens that may
be rejected afterwards -- and the `prev -> curr` correction for a rejected
draft lands on the destination block on a later step, never on the source
block that was already frozen into the cache.

Admit the single block this step's write lands on, and only when that
landing is exactly on the boundary and made entirely of committed tokens.
Withholding is expressed as a mask ANDed into the one the base
`cache_blocks` already computes, so it can only remove admissions, never
add them, under every caller including those outside `allocate_slots`.
Non-align mode is untouched: the state is not block-snapshotted there and
dense caching is correct.

The rule is targeted rather than merely strict. With a decode step equal
to the block size, every write lands on a boundary and the admitted set is
identical with and without this change; only steps that pass over a
boundary lose admissions, and those are exactly the mis-keyed ones.

Measured status, which belongs here rather than in a footnote: on the
workload this was found on it is inert. The mamba block size and the
completion length there leave the affected population nearly empty -- 3 of
32 requests crossed a boundary during decode at all -- so acceptance moved
1.249 to 1.294 and the prefix cache hit rate was unchanged at 50.5%. That
is a measurement that it costs nothing, not a measurement that it helps.
A configuration with a smaller block size, or generations long relative to
it, is what would exercise the rule.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
Four sites explained at length why a model can carry more than one
full-attention group and why each has to trim at its own block size. The
explanation belongs on truncate_downward_closed_groups, which is the
function that acts on it, so it moves there once and the call sites keep
only what is local to them.

Also records why get_computed_blocks_for_connector hands the helper a copy
of the per-group hit lengths rather than the list itself: the flag it
returns reports on the pre-trim hits, so the original has to survive the
call. That read as an accidental throwaway.

No behavior change; comments only.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
The comment share of the added lines ran about 2.7x that of the surrounding
files, against a style guide that asks to minimize comments and assume the
reader knows vLLM. The rationale that is not recoverable from the code stays;
what went was restatement of the line below, and the two call-site copies of
the multi-group explanation that truncate_downward_closed_groups already
carries in its docstring.

Comments only, no behavior change.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
…er hit is possible

The conversion was gated on prefix caching alone, which is broader than the
condition it exists to satisfy. It exists because `SlidingWindowManager`
refuses fine-grained (partial) prefix-cache hits, so an all-sliding drafter
cannot be looked up at a hash granularity finer than its own block size.

But `partial_hash_hits_enabled` only turns that granularity on when a mamba
"align" group is present. Without one the coordinator hands every group
scheduler-block-aligned lengths, which `SlidingWindowManager` already serves --
`test_eagle_swa_alignment_caches_extra_block` covers exactly that layout. So
for an all-sliding drafter on a target with no mamba "align" group, the
conversion bought no lookup capability and still budgeted each drafter layer at
`max_model_len` instead of at its window. On a long-context model that is
enough extra drafter KV to cut concurrency sharply, or to fail a configuration
that previously fit.

Gate on the cache mode as well. The predicate cannot be consulted directly:
it reads the KV cache specs, and this drafter's own spec is one of its inputs,
so the layers do not exist yet when the decision has to be made. The gate moves
to a named helper so the relationship is stated once and pinned by a test
rather than restated at the call site.

Kimi K3 is unaffected -- prefix caching forces its mamba cache mode to "align",
so it still converts, and the acceptance measurements on that lane still stand.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
…s own

`MambaManager.cache_blocks` intersected a caller-supplied `extra_block_mask`
with its own boundary mask, but that mask is `None` in non-align mode, where
the manager imposes no per-block constraint at all. Zipping against `None`
raises `TypeError`, so a caller passing a mask outside align mode crashed
instead of having its mask honoured. Fall back to the caller's mask there,
which is what "no constraint of my own" means. Found by mypy rather than by a
test, since no current caller pairs the two.

Also widen `truncate_downward_closed_groups`'s `hit_blocks_by_group` to
`Sequence`, as it only reads the outer list and `list` is invariant, and
reword two comments the `typos` hook reads "ANDed" out of.

Co-authored-by: Janelle Cai <janelle.cai@modal.com>
Signed-off-by: Rahul Chalamala <22563365+rchalamala@users.noreply.github.com>
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