SGLANG_DEBUG_CP_SHARED_KV also disables tai IPC materialize -> NSA index fail-fast at
warmup (unusable in this config). Add a logging-only flag that emits the sender/worker
transfer-partition dumps (main-KV pages/positions vs NSA-state pages/positions) without
that side effect, and lift the 64-log cap, so we can diff the state-vs-main-KV partition
for a cache-hit vs cache-miss.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
E2e caught one request wedged FOREVER in disagg_prefill_inflight_queue
(probes 21s apart with zero traffic both showed #inflight-req: 1, no
reap/timeout warnings ever logged). Mechanism, established by reading
the full state machine: prefill Success is set locally by the transfer
worker on the LAST chunk; if the decode peer is torn down between the
handshake and the prefill's final send(), add_transfer_request silently
drops the chunk (no transfer destinations) — Success becomes
unreachable. The only external rescue, the decode ABORT notification,
is best-effort (silently swallowed on send error, no-op if it races the
room registration), there is no prefill-side heartbeat of decode
sessions, and the sender's only timeout covers Bootstrapping — the
inflight queue itself has no liveness bound. The orphan pins the
request's KV pages and rides every poll collective.
Two fixes, both reaped through the existing Failed branch via the
CP/TP MIN-reduce poll consensus (Failed=0 wins, so one rank concluding
flips every rank together — rank-uniform by construction):
- add_transfer_request: a room with no transfer destinations that is
NOT already Success (the dummy-rank handshake marking) now concludes
Failed loudly instead of dropping the chunk silently.
- Inflight residency timeout: entries stuck in a non-terminal poll
state past SGLANG_DISAGGREGATION_INFLIGHT_TIMEOUT (default 300s,
matching the sibling BOOTSTRAP/WAITING timeouts) get sender.abort()
and reap on the next poll. Covers what the hardening cannot: lost
ABORT datagrams, decode crashes.
Known sibling gaps left for follow-up: the decode transfer queue has
no Transferring liveness bound, and an abort that matches no queue is
still a silent no-op (much narrower race than first thought — work
requests are ordered before control requests within a tick).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
'[CP_PER_LAYER_TRANSFER] registered room=... chunk=...' fired at INFO
once per room per chunk on every prefill send. The one-time manager
registration stays INFO and failure paths stay WARNING; the
success-side finish log was already debug.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Per-layer prefill-to-decode transfer now finishes per request/rank/chunk, so success-path INFO logs can dominate production logs and hide actual failures. Keep successful finish breakdown and completion messages at DEBUG while preserving nonzero finish status as WARNING.
Constraint: Per-layer transfer is a hot path under CP shared-KV and may produce many batch completions per request.
Rejected: Disable CP per-layer transfer logging entirely | failures still need visible warning-level evidence.
Confidence: high
Scope-risk: narrow
Directive: Do not promote successful per-request transfer completion logs back to INFO without rate limiting.
Tested: PYTHONPATH=python python -m pytest -q test/registered/unit/disaggregation/test_cp_per_layer_transfer.py::TestPerLayerTransferContext::test_successful_finish_does_not_emit_hot_path_info_log
Tested: python -m py_compile python/sglang/srt/disaggregation/cp_per_layer_transfer.py python/sglang/srt/disaggregation/mooncake/conn.py
Not-tested: Full local disaggregation suite blocked by missing local orjson dependency.
Co-authored-by: OmX <omx@oh-my-codex.dev>
Index skip reduces the number of target layers that own NSA index state,
but PD transfer and HiCache still assumed dense full-layer state buffers.
This change carries explicit state layer IDs through prefill/decode
registration, compacts device and host index buffers to active layers,
and maps logical layer IDs to compact slots on transfer paths.
The PD side fails fast when prefill/decode disagree on NSA state layer
identity instead of silently truncating or copying mismatched buffers.
Host direct tests now use the same CPU-index descriptor contract required
by the TAI cudaMemcpyBatchAsync path, and host registered memory is
unregistered on tensor finalization to avoid stale cudaHostRegister state
across CUDA tests.
Constraint: CP shared-KV with index_topk skip must keep target/draft state identity explicit before compacting buffers
Constraint: Direct HiCache TAI transfer rejects CUDA indices to avoid hidden D2H copies on the control path
Rejected: Keep full-layer L1/L2 index buffers | wastes the memory/bandwidth that index skip is meant to save
Rejected: Infer state buffer order by count only | can silently corrupt cache when active layer sets differ
Confidence: high
Scope-risk: moderate
Directive: Do not compact or reorder NSA state buffers without carrying logical layer IDs through PD registration and validating both sides
Tested: Remote container py_compile for touched runtime files
Tested: Remote container pytest: test_nsa_pool_host_unit.py, test_model_runner_kv_cache_mixin.py, test_cp_shared_kv_transfer_mapping.py, test_pd_state_layer_ids.py, test_cp_per_layer_transfer.py, test_cp_shared_kv_runtime.py -> 200 passed, 2 subtests passed
Not-tested: Full ETE GSM8K/replay after compacted P3-P6 changes
Co-authored-by: OmX <omx@oh-my-codex.dev>
The GSM8K/cache-hit debugging pass added request-correlation logs across scheduler, radix, HiCache, Mooncake, and prefill handoff. The root cause work has moved to request-slot remap semantics, so those high-cardinality traces are no longer needed in the runtime diff.
This removes the temporary tracing helpers and call sites while leaving existing fail-fast checks, fallback warnings, and explicit debug/timing infrastructure that is still part of normal CP shared-KV diagnostics.
Constraint: Production CP hot paths should not carry investigation-only request signatures or transfer summaries
Rejected: Keep all debug logs gated by env | even gated logs increase maintenance surface and encourage stale diagnosis paths
Confidence: high
Scope-risk: moderate
Directive: Reintroduce request-correlation logs only as a narrow opt-in probe with a planned removal point
Tested: Local py_compile for touched runtime files; remote py_compile; remote pytest test_cp_shared_kv_runtime.py, test_nsa_cp_utils.py, test_cp_shared_kv_layout.py => 263 passed, 5 warnings, 2 subtests passed
Not-tested: Long-running ETE log-volume comparison after removal
Warm-cache GSM8K failures needed request-to-log correlation across scheduler, prefill transfer, and Mooncake CP filtering. The added diagnostics are gated by existing CP shared-KV debug envs and include bounded token signatures plus transfer page summaries so future debugging can identify whether a failed request hit L1, L2, or transfer truncation paths.\n\nThe findings document records the ruled-out hypotheses and the RAGGED current-row contract failure, preventing repeated log archaeology after context compaction.\n\nConstraint: Production hot paths must not emit these logs unless SGLANG_CP_SHARED_KV_BS_GT1_DEBUG or existing CP shared-KV debug gates are enabled.\nRejected: Add a new debug env | reuse of existing bs>1 debug gate avoids more runtime switches.\nRejected: Store full token ids in logs | bounded signatures are enough for correlation without huge logs.\nConfidence: medium\nScope-risk: narrow\nDirective: Keep these diagnostics gated and bounded; do not convert them to unconditional INFO logs.\nTested: Remote container py_compile as part of the RAGGED fix validation.\nNot-tested: Long-running production log-volume impact with debug enabled.
The transfer worker iterates every non-dummy decode info for a room and calls
per_layer_mgr.finish() once per info, but register_per_layer_transfer registers
exactly one context per room/chunk (built for one info's dst_kv_indices). This is
only sound when there is exactly one non-dummy info (required_dst_info_num == 1).
With decode attn_tp < prefill attn_tp a single prefill rank holds >1 non-dummy
infos; finishing once-per-info would over-pop chunk contexts and under-deliver KV
to the other infos. Make the assumption explicit: register only when there is one
non-dummy info, otherwise fall back to the monolithic post-forward transfer (which
fans out to all infos correctly). Found by an independent first-principles audit.
Adds TestRegisterGuardSingleInfo (2-info fallback, 1-info register, all-dummy
fallback) exercising the real MooncakeKVManager.register_per_layer_transfer.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The per-layer KV transfer registration hardcoded chunk_page_start=0 when
filtering CP-shared-KV owned pages. The CP filter's second return (`positions`)
are absolute full-sequence page positions built from chunk_page_start, and the
transfer indexes the FULL-request dst_kv_indices by those absolute positions
(mirroring the monolithic send(), which passes chunk_page_start=index_slice.start
— the cumulative page offset). With start=0, chunk N>0's positions were
chunk-local, so its KV was written onto chunk 0's decode pages, corrupting the
decode output. Non-chunked requests (single chunk, start=0) were unaffected,
matching the observed symptom (non-chunked byte-identical, chunked garbage).
Fix: chunk_page_start = chunk_key // page_size, where chunk_key is the chunk's
start_send_idx (page-aligned), making it exactly the monolithic index_slice.start.
Verified: opus first-principles code audit; empirical mapping-invariant on the
deployed modules (per-chunk == whole-request for all 8 CP ranks; old start=0
sends chunk1 to chunk0's dst); 2 new regression tests (TestChunkedDstMapping).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Per code review (HiCache load is layer-by-layer & correctly ordered into the compute
stream before the backup hook; current-reuse is a within-forward read that doesn't
rewrite pool pages): unify registration to the EXACT range this forward's
send_kv_chunk transmits — req_to_token[start_send_idx:end_idx], page-floored for a
non-last chunk. Non-chunked = one full range; chunked = one range per chunk. Drop
the is_chunked/start_send_idx skip.
To avoid the review's collision risk (chunk N still finishing when chunk N+1
registers), the manager keys contexts per (room, start_send_idx): _active[room] is a
FIFO deque of (chunk_key, ctx); register dedups the same chunk but appends a new one;
finish(room) pops the FRONT (chunks finish in send order — no chunk key needed in the
transfer_worker); drop drains all the room's chunks; on_layer_end enqueues for all
active chunk contexts (per-ctx note_enqueued dedup keeps each chunk's own events).
28 unit tests pass incl. chunked FIFO + per-chunk dedup.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Complete the lever-A hot-path integration behind SGLANG_CP_SHARED_KV_PER_LAYER_TRANSFER:
- PerLayerTransferContext: add num_layers + a completion event so finish() waits
until ALL layers are processed before wait_batch_transfers (never races ahead of
the worker threads and silently drops in-flight layers); times out to FAILURE.
- PerLayerTransferManager: has_room (for the swap) + drop (abort/failure drain so
outstanding RDMA finishes before pages are reclaimed).
- MooncakeKVManager.register_per_layer_transfer: build + register a context before
the forward, reusing send()'s exact CP filter (no re-derivation).
- transfer_worker: when a room is per-layer-active, wait those transfers (finish)
instead of the monolithic send_kvcache -- no double-send; aux/state/completion
unchanged. The skip path drops the context on abort/failure.
- prefill scheduler: _register_per_layer_transfers(batch) before run_batch, scoped
(first impl) to single-forward, no-cached-prefix requests (the notifier transfers
forward-written pages; chunked/cached-prefix are HiCache-loaded -> lever B).
Unit-tested (25 cases). e2e output-equality + TTFT verification next.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add MooncakeKVManager.build_per_layer_context: assembles a PerLayerTransferContext
from the SAME CP-filtered (prefill_kv_indices, dst_kv_indices) the post-forward
transfer uses — so the bytes moved are byte-identical to the monolithic path, and
the CP owner mapping is NOT re-derived (eliminating the #1 correctness risk). It
mirrors the MLA branch of _send_kvcache_generic exactly (get_mla_kv_ptrs_with_pp +
group_concurrent_contiguous + build_layer_blocks, verified set_transfer_blocks-
identical). Returns None for MHA / unregistered decode / empty owned set.
Unit-tested (4 cases): per-layer address correctness + the None guards. Remaining
A3-step3: call this in the send/scheduler flow (register before forward, finish
after, skip the main-KV monolithic send), then output-equality + TTFT verification.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add _transfer_layers_async: submit each layer's transfer non-blocking via the
async API (batch_transfer_async_submit), pipelining layers in the RDMA engine,
then wait for all once (wait_batch_transfers). Gated by the new
SGLANG_CP_SHARED_KV_PER_LAYER_TRANSFER env (default off); replaces the monolithic
all-layers batch_transfer_sync on that path. This is the transfer mechanism for
per-layer overlap (lever A) and removes the per-layer blocking-sync tax measured
in B1a; the forward-overlap hook (G2) builds on it next. Uses the safe async API,
never the OnCuda busy-wait/_exit path.
Unit-tested (test_per_layer_transfer.py, 5 cases): one submit per non-empty layer,
single wait-for-all, empty-layer skip, submit-failure drain + return -1, and
wait-status propagation.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Port the decode->prefill half of upstream sgl-project/sglang #27372 (the worker
skip-Failed guard half landed in cb1a03f0a). In multi-prefill/multi-decode PD, a
decode-initiated abort frees the decode's KV pages back to the allocator, but the
prefill never learns of it (request_status is per-process), so the prefill keeps
RDMA-writing the remaining chunks into pages the decode may have reallocated to a
different live request -> KV corruption. The already-ported worker guard is a no-op
here because nothing sets the prefill room to Failed.
Now the decode receiver sends a 4-field b"ABORT" notification to every prefill peer
(on abort() and on the poll() WaitingForInput timeout, at most once); the prefill
marks the room Failed (so the worker guard fires) and replies b"ABORT_ACK". The
ABORT branch is handled before the unconditional waiting_req_bytes[3] decode in
bootstrap_thread (a 4-field ABORT would otherwise crash the else branch), and
ABORT_ACK before the 3-tuple unpack in the decode thread.
De-entangled from the staging/tracing infra this branch lacks. Component-tested
(test_mooncake_abort_protocol.py: format, send-once guard, abort wiring, ZMQ
round-trip). Cross-process corruption-window closure to be verified by the
multi-P/D PD harness.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Port upstream sgl-project/sglang #24416 (staging-free). Our transfer metrics
were computed from the full prompt length, so total_mb / speed_gb_s were
systematically over-reported on every prefix-cache hit and every CP shared-KV
per-rank page filter. Now each sender accumulates the actually-sent KV/state
indices and reports bytes = sent_pages * per-page item bytes via a new
KVTransferMetric returned by get_transfer_metric(); prefill consumes that
instead of estimating from len(origin_input_ids), and skips fake-bootstrap and
dummy-CP-rank senders (which transfer nothing).
Also route convert_to_duration() phase deltas through duration_between(), which
returns 0 when a phase timestamp is uninitialized, fixing nonsensical negative
durations in the time-stats log.
Unit-tested (test_kv_transfer_metrics.py, 10 cases) in the CUDA-13 container.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Port the abort-correctness pair from upstream sgl-project/sglang:
- #24522: abort() now calls kv_mgr.update_status(room, Failed) so the
transfer worker and other pollers observe the abort, not only the local
conclude_state.
- #27372 (guard half): the transfer worker skips a chunk whose room has
already failed or been aborted, so it never transfers into KV pages that
may have been reclaimed. This matters more once per-layer async transfer
widens the abort-vs-in-flight window.
The decode->prefill ABORT/ABORT_ACK notification half of #27372 is deferred:
it interleaves with staging/tracing infra this branch lacks and needs the PD
test harness to verify, so porting it now would be unverified guesswork.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Port upstream sgl-project/sglang #23323. Our state_type in [swa, nsa]
transfer path only handled len(prefill_state_indices) < len(dst), and even
then clipped prefill_state_indices (a no-op when prefill is shorter), and
never handled the prefill > dst case. Now clip prefill when it is longer and
clip the dst state indices when it is shorter, so the extra-pool transfer
never reads past prefill_state_indices or writes past dst_state_indices.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Mooncake previously truncated source prefill pages when the selected decode destination page list was shorter. That made an invalid prefill/decode page mapping continue as an incomplete KV transfer, which can surface later as decode garbage instead of the original mapping error.\n\nThis changes the transfer contract to require exact source/destination page-count equality and records compact page summaries in the fail-fast error. The helper is shared so the page-count contract can be unit-tested without constructing the transfer worker thread.\n\nConstraint: CP shared-KV page ownership requires a one-to-one prefill source page to decode destination page mapping.\nRejected: Keep warning-and-truncate | masks page-map corruption and can silently drop KV.\nConfidence: medium\nScope-risk: moderate\nDirective: Do not restore source-page truncation; fix the mapping producer if this fail-fast triggers.\nTested: git diff --check; python -m py_compile python/sglang/srt/disaggregation/utils.py python/sglang/srt/disaggregation/mooncake/conn.py test/registered/unit/disaggregation/test_cp_shared_kv_transfer_mapping.py\nNot-tested: pytest blocked locally by missing orjson; remote g0034 was unavailable during this pass.
CP shared KV now keeps explicit L1 and host free-room targets so pressure is handled by planned eviction instead of repeated capacity-edge retries. The host allocator gains contiguous-preferred page reservation, L1 owner-lane allocation prefers contiguous physical pages, and CP HiCache metadata preserves pending backup safety for page-granular radix updates. Mooncake transfer stats and allocator microbenchmarks are included to make the remaining transfer bottlenecks measurable rather than inferred.
Constraint: CP shared KV uses decode CP size 1 with all prefill CP ranks participating in transfer, so L1/L2 cache residency must remain page-granular and avoid extra collectives.\nConstraint: Production HiCache can be hundreds of GB, so allocator metadata overhead must be visible before enabling aggressive contiguous allocation broadly.\nRejected: Evict only the exact deficit | this keeps the cache at the cliff and causes repeated evict/allocate pressure.\nRejected: Rely on allocator scans alone for contiguity | remote microbenchmarks show fragmented 220GB-equivalent host metadata can make contiguous-preferred scans multi-ms.\nConfidence: medium\nScope-risk: moderate\nDirective: Do not increase L1/L2 free-room defaults or add new CP collectives without ETE evidence and transfer/allocator measurements.\nTested: python -m py_compile on touched runtime/test/benchmark files.\nTested: PYTHONPATH=. python -m pytest -q test/registered/unit/benchmark/test_cp_hicache_allocator_bench.py => 4 passed, 1 warning.\nTested: Remote g0034 log /mnt/beegfs/cjy/log/sglang_cp_hicache_20260601_233723.log shows active prefill process with L1/L2 free-room args, 702 HTTP 200 chat completions, 6272 prefill batches, and no fatal scheduler traceback in latest scan.\nTested: User-reported L1/L2 cache ETE validation passed on remote run.\nNot-tested: Full local pytest suite; local environment is missing several runtime dependencies.\nNot-tested: CUDA allocator microbenchmark during active production prefill process.\nNot-tested: Mooncake straggler fix; stats show transfer tail latency remains a separate bottleneck.
CP shared KV already registered the draft model main KV buffer with the
prefill/decode Mooncake managers, but NSA draft state buffers were not part
of the state registration set. HiCache/cache-hit traffic could then transfer
pages from the draft pool without transferring the matching draft
index/scale state, which is a plausible cause of the EAGLE/MTP accept-length
collapse after cache hits.
This appends compatible draft NSA state buffers to the existing state
transfer registration on both prefill and decode, and extends transfer-side
diagnostics so source/destination state-buffer counts are visible. The
mismatch guard degrades to the common prefix of registered state buffers
instead of crashing if a rolling deployment exposes asymmetric registration.
Constraint: Scope is intentionally limited to target_state_type=nsa and draft_state_type=nsa.
Rejected: Treat draft main KV transfer as sufficient | NSA attention also needs draft index/scale state for transferred pages.
Rejected: Add Mamba/SWA draft-state semantics now | those state layouts need separate correctness analysis.
Confidence: medium
Scope-risk: moderate
Directive: Do not remove the draft_state_buffer_start/count fields without checking Mooncake source/destination registration symmetry.
Tested: PYTHONDONTWRITEBYTECODE=1 python3 -m py_compile python/sglang/srt/disaggregation/prefill.py python/sglang/srt/disaggregation/decode.py python/sglang/srt/disaggregation/mooncake/conn.py
Tested: git diff --check
Tested: Remote prefill log showed registered_state_bufs=79 and maybe_send_extra_state src_state_bufs=79 dst_state_bufs=79 with no state-buffer mismatch.
Not-tested: Full accept-length recovery; latest remote run hit an unrelated prefill KV allocator idle-check leak after transfer registration succeeded.
Prefill CP only needs the local hidden shard for DeepSeek NextN draft extend. The change adds a draft shared-KV path that captures target hidden locally, feeds only the CP-local slice into the draft model, and keeps draft KV writes/transfers on the same shared logical-to-physical page mapping as target KV.\n\nDebug logs are gated behind SGLANG_CP_DRAFT_SHARED_KV_DEBUG and cover scheduler pool selection, KV manager buffer registration, local physical writes, prefill sender filtering, transfer pages, and decode commit metadata so ETE runs can prove draft KV is sharded rather than full-concatenated on a prefill rank.\n\nConstraint: Prefill runs CP while decode remains DP, so prefill must avoid full hidden/KV materialization but decode still receives full logical KV pages.\nRejected: Keep draft extend on full hidden state | preserves correctness but wastes prefill memory and defeats CP shared-KV intent.\nRejected: Transfer draft KV with a separate mapping | target and draft pools share req_to_token logical indices, so duplicating mapping adds risk without benefit.\nConfidence: medium\nScope-risk: moderate\nDirective: Do not remove the debug logs until ETE evidence confirms draft MLA/index writes and transfer pages are CP-sharded on all ranks.\nTested: Remote compileall for changed CP draft, transfer, scheduler, NSA index, MLA write, and EAGLE files.\nNot-tested: Full GLM-5 EAGLE ETE with SGLANG_CP_DRAFT_SHARED_KV_DEBUG=1 after this logging addition; local pytest intentionally not run.
Prefill CP previously replicated NSA/MLA persistent KV on every CP rank, so CP8 consumed eight copies of KV memory while exposing only one rank of logical cache capacity. This change splits logical KV locs from per-rank physical storage, shards MLA latent KV and NSA index K/scale by deterministic page ownership, and keeps existing NSA attention kernels working through a full-view runtime materialization layer.
Mooncake PD transfer now sends each prefill CP rank's owned physical pages with explicit logical page positions so non-CP decode can reconstruct full-layout KV. The implementation is guarded by an explicit server flag and startup checks, and the design documentation records the implemented scope, debug environment, and Phase 3 boundary.
Constraint: Phase 2 must preserve existing NSA attention/index kernels via runtime full-view materialization
Constraint: Decode side remains non-CP and receives full KV through Mooncake
Rejected: Shard-aware NSA attention in this change | belongs to Phase 3 because it requires distributed topk/softmax/output contracts
Rejected: Request-contiguous CP ownership | unstable under chunked prefill and tied to attention split mode
Confidence: medium
Scope-risk: broad
Directive: Do not enable round-robin CP shared KV without wiring runtime materialization/PD transfer contracts for that split mode
Directive: Keep SGLANG_DEBUG_CP_SHARED_KV disabled for perf measurements; it intentionally enables CUDA-syncing diagnostics
Tested: Remote py_compile for shared-KV touched Python files in g0034 container
Tested: Remote pytest selected cp_shared/shared_kv/nsa suite: 37 passed, 34 deselected
Not-tested: Full GLM5 multi-node throughput/regression run after final doc update
Not-tested: Phase 3 shard-aware runtime, round-robin CP mode, and non-Mooncake PD backends