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Scheduler-side capture of per-layer routed expert IDs into a scheduler-owned MAP_SHARED mmap slot buffer shared with the worker, returned to the caller via ModelRunnerOutput. Only physical slot indices (block_id * block_size + offset) cross the process boundary, never the routing payload; prefix-cache hits and block reuse follow for free. Includes MLA DSA / HMA (multi KV-group) support. Replaces the single-file routed_experts_capturer with the routed_experts_capture package. No KV offload here: enable_return_routed_experts stays incompatible with any KV connector; CPU/disk offload is added in the following commits. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Signed-off-by: xhx1022 <1737006628@qq.com>
Follow the KV blocks' offload lifecycle: store/load per-block routing to a CPU offload buffer along each OffloadingConnector transfer job, so routing survives GPU eviction. Adds the manager's offload buffer + block-map math and the scheduler offload hooks. Relaxes the enable_return_routed_experts KV-compat check to allow OffloadingConnector + CPUOffloadingSpec (kv_role=kv_both). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Signed-off-by: xhx1022 <1737006628@qq.com>
Co-authored-by: Codex <noreply@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
Fix routed-experts CPU offload validation
Co-authored-by: Codex <noreply@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
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Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
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Replace sample manifests with immutable self-describing objects, keep SHM delivery inline, and expose ordered artifact keys for external backends. Assisted-by: OpenAI Codex Signed-off-by: aoshen02 <aoshen@inferact.ai>
Remove request-scoped worker assembly and discard RPC state, keep the scheduler integration focused on admission, commits, and terminal acknowledgement, and scope the implementation to Model Runner V2 and SHM delivery. Co-authored-by: OpenAI Codex <noreply@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
Co-authored-by: OpenAI Codex <codex@openai.com> Signed-off-by: aoshen02 <aoshen@inferact.ai>
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Stack and review scope
codex/mrv2-r3-stackedat7f94ae45b6)codex/artifact-connector-shm-stackedat7e4da344edThis PR implements the R3 Artifact Connector core and SHM simple backend. It
does not implement prompt-logprobs artifacts, DSA, multimodal artifacts,
Top-p token IDs, VIME integration, or distributed artifact storage.
The SHM public contract is intentionally:
There is no public sample ID, manifest, mmap path/handle, key list, or
object-length list in this layer.
Motivation and corrected lifetime model
vllm-project#45635 provides the proven router capture and shared-mmap return path. A
physical KV slot is mutable and may be released or reassigned after a model
step, so Artifact Core must not read that slot later from Scheduler metadata.
The current design copies R3 at the point where the worker already owns a
stable current-step output:
Therefore the Scheduler does not snapshot physical block IDs and does not
retain KV blocks for artifact publication. Preemption uses vLLM's normal KV
lifecycle; recomputation overwrites only the still-uncommitted logical suffix.
Non-test changes and why each is needed
1. Configuration and fail-closed guards
ArtifactConfigadds bounded SHM settings and normal CLI/config plumbing. Whenthe connector is disabled, no artifact store, logical buffer, or artifact
metadata path is created.
VllmConfigrejects layouts whose logical ordering or writer ownership is notimplemented: PP, DCP/PCP, DBO, elastic EP, unsupported routers/connectors, EC
transfer, and non-generation layouts. TP and speculative decoding remain
enabled. These are staged correctness guards, not claims of fundamental
incompatibility.
Artifact mode does not initialize or write the vllm-project#45635 physical-slot mmap. The
SHM simple backend still requires the authoritative worker and EngineCore to
share one host because the selected Artifact Store itself lives in
/dev/shm.2. Worker-owned stable logical buffer
RoutedExpertsWriteTaskkeeps the existing immutable GPU snapshot and asyncD2H. For Artifact Connector it additionally carries request IDs, logical token
starts, and query row boundaries. MRV2 copies the per-request speculative
rejection counts on the same output stream, so rejected rows are excluded
before entering Artifact Connector.
RoutedExpertsArtifactBufferstores only each request's uncommitted logicalsuffix. It:
Artifact mode makes Artifact Core the sole publication destination: it does
not copy slot mappings to CPU or write the vllm-project#45635 physical-slot mmap. The
original vllm-project#45635 writer remains unchanged in the preceding #3 layer, but is not
constructed by this layer.
3. One field/core/store boundary
fields.pydefines R3 as a prefix-reusable field inEXECUTED_TOKENcoordinates.
request_core.pyowns deterministic keys, field profiles, self-describingobject envelopes, checksums, full-block/tail encoding, ordered coverage, and
materialization. Full-block identity uses the compatible KV block hash; an
incomplete suffix uses a request/attempt-scoped tail.
store.pyexposes only opaqueput,exists,get, andclose. It knowsnothing about requests, router tensors, manifests, or Scheduler state. #7 uses
the same boundary for Mooncake.
The final sampled token is excluded because it has not executed a forward
pass.
4. Minimal Scheduler/worker protocol
protocol.pycarries logical block hashes/ranges and request-attempt IDs.Physical block IDs and physical block size are no longer protocol fields.
ArtifactSchedulerConnectortracks accepted full-block progress and validatescommit/finalize acknowledgements.
ArtifactWorkerConnectortranslates thoseoperations into Core calls and owns the logical source buffer.
The Scheduler changes are limited to:
The previous per-step physical block snapshot, artifact preemption-retention
map, delayed KV free path, related release loop, Scheduler-side
RoutedExpertsManager, and EngineCore/worker shared-mmap validation weredeleted. CPU KV offload follows normal KV movement; R3 reuse is governed by
the same backend-ready admission check as local prefix-cache reuse.
5. SHM object backend
shm.pyatomically publishes immutable objects under a trusted/dev/shmroot, validates keys/checksums, and enforces bounded capacity and TTL cleanup.
It does not parse R3 schema.
In simple mode the worker materializes ordered objects into complete R3 and
returns it through the existing EngineCore/API output path. The HTTP caller
does not read SHM or concatenate blocks.
6. Engine and API delivery
Engine output processing keeps the terminal response pending until SHM
finalize succeeds. Completion, chat, batch, scale-out, streaming, and
non-streaming adapters expose actual R3 only on the terminal choice.
In-place weight update fails closed while artifacts are enabled; policy changes
use drain/restart rather than a second epoch state machine.
Validation
CPU/static
Result:
48 passed, 56 deselected. The complete routed-experts capture filealso passed:
27 passed.Coverage includes logical overwrite/release, speculative rejected-row
splitting, exact blocks, partial tails, ordered coverage, corruption/capacity
failures, cross-process SHM reads, standard KV preemption lifecycle, and
terminal output delivery.
Commit hooks passed ruff check/format, Python 3.10 mypy, SPDX, forbidden
imports, configuration validation, and
git diff --check. Focused ruff formatand check also passed after the final edit.
A broader
test_output_processor.pyattempt passed 48 tests but 32 fixturescould not initialize because this host is not authenticated for gated
meta-llama/Llama-3.2-1B; the artifact-specific test above passes.H200 PowerMoE-3b E2E
The exact
7e4da344edhead was rerun after removing the physical-slot mmap:[68, 32, 8] uint8.zero differing elements and the same SHA-256 digest.
/dev/shm/vllm_routed_experts_*.mmapor initializedRoutedExpertsManager.Earlier validation of the same Artifact Core covered terminal-only streaming
and repeated requests with an exact common R3 prefix.
Historical predecessor evidence remains: vllm-project#45635/PR3 passed TP8 cold equality,
992-token local/CPU-offload prefix reuse, and the MRV2 stack passed TP1/TP2.
Those results are predecessor evidence, not relabeled as this-head reruns.
Remaining before ready
Duplicate-work and AI assistance
Upstream searches found no open PR implementing this logical R3 Artifact
Connector. vllm-project#45635 is the physical capture baseline consumed here; it does not
provide immutable logical objects or joint KV/R3 admission.
AI assistance was used to implement, simplify, test, restack, and document the
change. The human submitter must review every changed line, rerun the remaining
matrix, and be able to defend the design end to end before making this draft
ready.