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docs: add Mooncake prefix reuse feasibility reference - #279

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Dong1017 merged 7 commits into
InferMatrixLab:mainfrom
Dong1017:codex/issue91-mooncake-public
Oct 31, 2026
Merged

Dong1017 merged 7 commits into
InferMatrixLab:mainfrom
Dong1017:codex/issue91-mooncake-public

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@Dong1017 Dong1017 commented Oct 31, 2026 •

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Governing Issue and delivery slice

Refs #91

This source amendment adds the FAST '25 Mooncake prefix-KV loading versus saved-prefill-work condition to the existing performance-ceiling-analysis owner. It retains Table 1 inputs, Equation 2, unit conventions, a worked decision and the measurements needed before adopting reuse.

The fixed source is Qin et al., Mooncake: Trading More Storage for Less Computation — A KVCache-centric Architecture for Serving LLM Chatbot, FAST '25 proceedings, pp. 155-170. The owner metadata records its exact PDF digest and inspected scope. Earlier evaluate-kv-cache-transfer-gates extraction remains positive; its original archive is unavailable and novelty against the unseen synthesis remains UNKNOWN.

Knowledge authorship declaration

{
  "schema_version": 1,
  "head_sha": "4c1be09c271cb7a264c936a13ab25e602bb26c1c",
  "human_only": false,
  "material_ai_authors": [
    {
      "tool": "Codex",
      "model_id": "gpt-6.1-sol",
      "effort": "max",
      "role": "author"
    }
  ]
}

Changed artifacts and evidence

  • One attributed owner-local reference, linked from the analytical method, typed source metadata and scoped Reference/SearchSpace rows.
  • The integrated base is 48484b2d60141ed653e6040660e8fe3eb780bdef. Normal merge fb90a268f43b253fd65a99f3981550e6cbbce05a preserves both parent histories. Final canonical M ad322aab86d9a148bc4b378a15b2762e41b86908 adds only a one-byte sentence separator to the merged matrix limitations before generation. Native projection commit G and final head are 4c1be09c271cb7a264c936a13ab25e602bb26c1c. Both original contribution pairs remain in history.
  • Both native projections are regenerated from actual M. All 77 catalog records cite M; canonical source hashes, candidate states and source metadata remain intact. Coverage updates its input digest, with 17 readsets for performance-ceiling-analysis, 9 for optimization-search-policy and 7 cases overall.
  • All five Sarathi, DistServe and corrected-title Mooncake source leaves retain their frozen original bytes. The complete Sarathi/DistServe owner from main and the Mooncake owner from the previous public head remain unchanged. Shared matrix statements retain all three source scopes and archive limitations.
  • The retained example reproduces a 5.859375 GB/s analytical threshold from explicit paper inputs. Its 5 GB/s and 10 GB/s decisions remain illustrative arithmetic; this integration performs no new paper interpretation or arithmetic qualification.

Checks and dependencies

  • Passed: exact combined canonical-tree and golden-leaf preservation, both native generator --check modes and git diff --check.
  • Passed on this head: fixed Mooncake PDF digest, typed paper/candidate/not_run/UNKNOWN-license checks, unchanged original Mooncake owner and current-main Sarathi/DistServe owner trees, all five golden leaves, seven native owner resources and the Sarathi case bundle, 367 local links and unavailable-revision rejection.
  • Passed: five named tests for normalized ownership/defaults, all seven case records and bundle links, and the exact committed coverage view; no failures or skips.
  • Historical local package receipts remain bound to 5a7f0944ec069c8b5967bddc090d27851876c76c. No wheel/build/install was repeated for this integration. The earlier broader reader suite was interrupted and an older catalog/coverage selection has no completion receipt; neither is promoted to passing here.
  • Fresh independent review and applicable hosted Ready, installed-package and knowledge-model-policy checks remain required at this new head. Previous complete-head review and CI receipts apply only to their recorded revisions.
  • Local checks use existing Python 3.13.5 with -I -S and explicit existing dependency paths. No dependency/upstream changes, new source qualification, archive recovery, runtime/device/model/paid execution, service/performance or agent-effect validation occurred.

Remaining work and Issue closure

This delivers source-grounded candidate guidance. Current cache validity, placement, compute/loading rates, exposed costs and joint-SLO outcomes remain unverified. It adds no scheduler, transport implementation, current API claim, SSD mechanism or measured service gain. Raw PDF, text and images are excluded; their third-party redistribution permission remains UNKNOWN.

The original archive-recovery work and broader Issue requirements remain open. Merge readiness requires fresh review and all applicable checks at this final head. This contribution does not close the Issue, authorize runtime execution or promote a candidate.

Retain the FAST '25 analytical transfer-versus-prefill condition, its inputs
and a worked decision example within the existing ceiling-analysis owner.
Preserve prior extraction history and unresolved source/runtime boundaries.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Regenerate the discovery catalog and coverage view from committed canonical
inputs without promoting candidates or changing existing source identities.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
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Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review Status Commit Review trigger
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5a7f094 PR opened
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Skill evaluation

Automatic execution / cumulative PR budget: {"reason":"Trusted configuration or pricing missing, invalid or expired","remaining_usd":"unknown","reserved_or_unresolved_usd":"unknown","spent_or_legacy_usd":"unknown","state":"blocked"}

Advisory: obtain missing evidence

Retained evidence availability: planned / unexecuted. No approval or merge authorization is issued.

  • Retained evidence is planned / unexecuted.
  • No supported comparison cases were selected.
  • Uncovered/unsupported scope needs a case or explicit reviewer disposition.

PLANNED: execution is not authorized by knowing this hash.
Outcomes: {"fix":0,"inconclusive":0,"missing_pair":0,"regression":0,"unchanged_correct":0,"unchanged_incorrect":0}
Earlier revision results are stale for this plan.

Selected comparisons: 0 · Estimated task calls: 0.
Uncovered/unsupported changes: 84. Gaps never count as passes.

Applicable only while these revisions and inputs match the current PR.
Paid execution requires trusted label authorization and cumulative PR reservation. Unknown accounting blocks new paid calls; planning is not execution.
Pipeline evidence only; offline fixed outputs do not establish skill efficacy.
Evidence and logs · Retention: 30 days.
Outcomes are historical; verifiable only before Unix time 1796014275 while the linked artifact is available. Expired evidence is unverified.

Plan bindings, budget, frozen exam and advisory details

Unchanged-correct is valid neutral evidence, not incremental benefit.
Content/source review and authorship admission remain separate.
Trusted regrading checks retained answers, not model/hardware provenance or a hostile executor; this is not an efficacy certification.

Per-case outcomes (discovery excluded; regressions and gaps first):

[]

Showing at most 20 of 0 pairs; the evidence link contains all outcomes, including omitted regressions/gaps.

Plan SHA-256: 55a29bc8db95f6c599a1429358b9e4217b8beed7bea9836b87d7fcad43f3544e
Base: 48484b2d60141ed653e6040660e8fe3eb780bdef · Head: 4c1be09c271cb7a264c936a13ab25e602bb26c1c
Trusted implementation: 48484b2d60141ed653e6040660e8fe3eb780bdef

Model/settings: {"effort":"not_applicable","name":"claude-opus-5-5"}
Budget: {"comparisons":0,"estimated_calls":0,"limits_per_comparison":{"campaign_seconds":600,"max_task_calls":2,"repeats":1,"timeout_seconds":180,"token_stop_new_trials":200000},"provider_config_sha256":"b28d80f8194fbe0f5a9f01515efb24b218979fd45f702776560da276f4b30d04","reservation":null}

Skill Comparison Cases Estimated calls

Provider/settings: {"client":{"api_version":"2023-06-01","endpoint":"https://yibuapi.com/v1/messages","kind":"anthropic-messages-full-context-v1","max_output_tokens":4096,"max_read_bytes":32768,"max_request_bytes":262144,"max_requests":1,"max_tool_calls":12,"provider":"yibuapi"},"limits":{"token_stop_new_trials":200000},"model":{"effort":"not_applicable","name":"claude-opus-5-5"},"pricing":{"currency":"USD","expires_at":1793271228,"group":"default","max_input_tokens":1000000,"model":"claude-opus-5-5","rate_evidence":"https://github.com/InferMatrixLab/InferRSI/issues/215#issuecomment-6467531341","rates":{"cache_read":"0.4","cache_write":"10","input":"8","output":"40"},"request_fee":"0","unit":"per_million_tokens"},"spend_limit":{"amount":"200","currency":"USD"}}

Uncovered / unsupported paths (84)
  • uncovered: "docs/reference-matrix.md"
  • uncovered: "docs/searchspace-matrix.md"
  • uncovered: "docs/skill-coverage.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/README.md"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-aclgraph-capture-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-device-health.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-distributed-parallel.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-graph-mode.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-model-adaptation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-operator-tuning.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-performance-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascend-video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/ascendc-tiling-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/cann-attribution-overlap.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-device-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/ascend/skills/torchnpu-pinned-host-memory-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-serving-preemption.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/assess-split-backward-schedule.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-fixed-workload-claim.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-metal-fasth3-semantics.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-h3-runtime-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-llama-runtime-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-recurrent-kv-finalization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sd-cpp-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-sglang-diffusion-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/audit-vllm-kv-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/bound-windowed-attention-replay.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/budget-speculative-verification.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/calibrate-serving-simulation.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cgroup-resource-controls.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/checkpoint-recovery-consistency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/choose-parallel-training-plan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/cite-check-downstream-pr.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/claim-contract.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/comfy-ui.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/competitor-scan.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dcp-async-save-performance.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dense-performance-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diagnose-vllm-admission-pressure.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/diffusers-invocation-state.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/draft-acceptance-issue.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/dwarfstar.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/evaluate-elastic-serving-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/generation-cache-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-memory-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/host-overhead-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/husky.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-benchmark-design.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/inference-optimization-casebook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kernel-writing-guide.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/kv-tier-management.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lazy-evaluation-stream-lifetimes.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lily.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/lithos-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/local-dream.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mistral-rs.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlc-llm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/mlx-swift-lm.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/npu-skill-factory.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/optimization-search-policy.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/os-process-placement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/performance-ceiling-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/plan-activation-residency.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/project-maya.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/repository-evolution-analysis.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/rsi-evidence.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/skill-evolution-playbook.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/splash.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/storage-io-measurement.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-input-pipeline.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/training-resource-budget.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/video-diffusion-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/vllm-metal.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/common/skills/weight-loading-optimization.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-afd-p2p-exchanges.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/audit-flare-session-lifecycle.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/diagnose-attention-bottlenecks.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/host-overhead-profiling.json"
  • uncovered: "src/inferrsi/data/repo_packs/inferrsi/knowledge/cuda/skills/reason-hopper-kernels.json"
  • uncovered: "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/SKILL.md"
  • uncovered: "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/metadata.json"
  • uncovered: "src/inferrsi/data/skill_library/methods/performance-ceiling-analysis/references/mooncake-prefix-reuse-feasibility.md"

@Dong1017 Dong1017 added the area:knowledge Knowledge line: packs, skill library, knowledge admission label Oct 31, 2026 — with ChatGPT Codex Connector
Use the selected publisher edition's title while preserving the source URL,
digest, equations and analytical scope.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Regenerate the native catalog and coverage view from the committed citation
correction while preserving existing identities, states and source pins.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>

@Dong1017 Dong1017 left a comment

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LGTM for the bounded source-only candidate slice at cf0b7022; I found no blocking content or packaging issue.

  • Equation 2, units and the worked example agree with the FAST edition; recalculation gives 5.859375 GB/s. The reference keeps cache validity, effective rates, overlap and service outcomes unverified.
  • Current-head Ready checks and the latest declaration status passed. Skill Eval is planned/unexecuted; my recommendation covers attributed source guidance with candidate / not_run preserved, not empirical skill or model benefit.
  • Integration remains with the existing author, @Dong1017. After another of PRs #277–#279 lands, preserve all canonical additions, commit the combined source snapshot, regenerate the native catalog and coverage view, then verify the new head. In particular, #277/#278 share the search-policy owner; choosing one generated side would lose the combined projection.
Evidence and scope
  • Reviewed head: cf0b7022761fa83361f986e3b37c2031ad33fd8d.
  • API base: ffb77f9a168ba1cb22f7ba261f289d24dbb6698f; assessed main: 3ece458ceaa92c5dad8d8e0b1e782a6961400b96.
  • Hosted tested merge: 8432bce04ec35f88404684b8a3264577715326a0, with verified parents main + reviewed head. Ready run: Python 3.10/3.11 full-check and installed-package jobs, plus KV task qualification succeeded. The 3.10 job reports 3168 passed, 13 skipped and 284 passing subtests. Latest declaration run succeeds; earlier failed runs remain historical. Declaration compliance does not verify actual author settings.
  • Scope: Mooncake reference, owner procedure/metadata, both matrices and all generated catalog/coverage changes. Canonical source snapshot b10231860fc1f643e02c6cff9cf3e2f92006c608 is reachable; only projections change between it and this head. Changed owner/resource hashes match the catalog; sidecar fields are preserved, with the reader's expected name/description fields added. Official paper bytes match the recorded PDF SHA-256. Source locations and historical results were checked; I did not reproduce the paper's experiments.
  • Skill Eval plan: 0 selected comparison(s), 94 uncovered/unsupported changes; execution skipped with unavailable/expired trusted configuration/pricing. These gaps are explicitly retained for this source-only review, with no efficacy acceptance or candidate promotion. Earlier incomplete bot reviews are not approvals.
  • Integration scope is conditional on the peer versions: #277 e3db289c42d6d37374755a05f28b1107da4f73ae; #278 7ef53189343c4bf04fc9e31b4d80f9644482cdfc; #279 cf0b7022761fa83361f986e3b37c2031ad33fd8d. Their combination has not been tested. Main's intervening activation change does not alter these knowledge inputs; each hosted merge already includes that main revision.
  • This review task made no implementation changes and ran no local pytest, model, GPU or paid evaluation. The posting account is also the PR author account, so this is a COMMENTED review, not GitHub APPROVED. It grants no merge, execution or whole-tracker acceptance authority.

Preserve all three source contributions and current-main files, combining their matrix statements before native projection regeneration.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Add punctuation between the retained DistServe and Mooncake limitations before native projection generation.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
Project all three retained source contributions from the committed canonical tree, preserving metadata, candidate state and empirical limits.

Agent-assisted-by: Codex / gpt-6.1-sol [effort=max] (author)
Signed-off-by: Dong1017 <55723162+Dong1017@users.noreply.github.com>
@Dong1017
Dong1017 merged commit 6810870 into InferMatrixLab:main Oct 31, 2026
11 of 12 checks passed
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