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[None][feat] Add the blob store driver boundary and an in-memory test driver - #20217

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NVIDIA:mainfrom
nv-xtf:dev-tingfengx-kv-store-driver
Oct 20, 2026
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Shixiaowei02 merged 6 commits into
NVIDIA:mainfrom
nv-xtf:dev-tingfengx-kv-store-driver

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Dev Engineer Review

  • Adds a private StoreDriver protocol and versioned blob-key encoding. The public backend contract remains unchanged. The changes do not add production store wiring or a store SDK.
  • Separates row results from evidence that an operation has stopped accessing caller memory. DriverRejected indicates that no effects escaped; other failures can require callers to keep memory protected.
  • Adds an in-memory store and driver, object trailers, host-memory utilities, and reusable driver-conformance checks for tests.
  • Review severity counts are unavailable because no current review findings were supplied. Reported CI results are mixed: some runs succeeded, others failed or were aborted, and the result of the further run for e153916 was not supplied. No test-level failure details were provided.

QA Engineer Review

  • Adds three CPU-only test files: test_blob_format.py, test_memory_driver.py, and test_testing_isolation.py. Their tests cover key and trailer validation, driver behavior and memory lifecycles, broken-driver conformance, and testing-package import isolation.
  • No test-list file changed. The existing tests/integration/test_lists/test-db/l0_cpu.yml entry selects unittest/_torch/disaggregation. The changed tests are unit tests, not integration tests, so no additional test-db/ or manual-QA list entry applies.
  • Coverage verdict: sufficient for the private contract and in-memory test implementation, based on the described test breadth. This is a coverage assessment, not a claim that the tests pass.

Per-File QA Perspective

  • tensorrt_llm/_torch/disaggregation/blob/__init__.py — Documents the blob package and its import boundary. Verify that importing the package does not load the public backend contract or an optional store SDK.
  • tensorrt_llm/_torch/disaggregation/blob/keys.py — Adds versioned key encoding and prefix/name validation. Verify accepted prefixes, empty-name rejection, and distinct encoding of object names.
  • tensorrt_llm/_torch/disaggregation/blob/store.py — Adds the private driver API, row outcomes, capabilities, memory spans, and access-lifetime evidence. Verify that callers distinguish row completion from safe memory release and handle rejection separately from store errors.
  • tests/unittest/_torch/disaggregation/blob/test_blob_format.py — Tests key encoding, contract-value validation, and trailer integrity and corruption cases. The existing l0_cpu.yml directory entry selects this test directory.
  • tests/unittest/_torch/disaggregation/blob/test_memory_driver.py — Tests driver conformance, operation lifecycles, errors, concurrency, cleanup, and deliberately broken drivers. The existing l0_cpu.yml directory entry selects this test directory.
  • tensorrt_llm/_torch/disaggregation/testing/__init__.py — Documents the test-tooling package and its deployment boundary. Verify that production modules do not import this package.
  • tensorrt_llm/_torch/disaggregation/testing/broken_drivers.py — Adds driver doubles that violate contract rules. Verify that each double triggers its associated conformance check.
  • tensorrt_llm/_torch/disaggregation/testing/driver_conformance.py — Adds reusable contract checks, scenarios, and conservative memory cleanup. Verify that cleanup retains memory when access cannot be proven to have ended.
  • tensorrt_llm/_torch/disaggregation/testing/host_memory.py — Adds guarded host-memory utilities for tests. Verify that bounds checks and canaries detect writes outside the registered window.
  • tensorrt_llm/_torch/disaggregation/testing/memory_store.py — Adds an in-process store and driver with automatic and controlled operation modes. Verify trailer checks, error-to-row-fault behavior, probe limits, and drain/close requirements.
  • tensorrt_llm/_torch/disaggregation/testing/object_trailer.py — Adds trailer encoding and validation for identity, payload length, version, and checksum. Verify that malformed or corrupted trailers are rejected.
  • tests/unittest/_torch/disaggregation/blob/test_testing_isolation.py — Tests that engine modules do not import the testing package and checks import-resolution cases. The existing l0_cpu.yml directory entry selects this test directory.
  • tensorrt_llm/_torch/disaggregation/base/memory.py — Adds MemoryKind values for host and device memory. Verify that drivers reject device-memory regions unless they declare the device_memory capability.

Description

KV reuse through a byte store (Mooncake, KVCR, ...) needs a seam between the blob
backend and each store SDK. This PR adds that seam, a driver that stands in for a
store in tests, and the tooling that proves any driver honours the seam. It adds no
backend and no real SDK; those are follow-up PRs.

The boundary (_torch/disaggregation/blob/store.py, private)

  • StoreDriver answers two questions separately per operation: each row's logical
    result (poll) and whether the operation may still touch the caller's memory
    (access_ended, with access_unprovable for a store that lost the evidence).
    Neither answer implies the other.
  • DriverRejected is the only raise that certifies nothing escaped; it is not a
    StoreError, so store-trouble handlers never swallow it. Once an operation is
    recorded, every failure is a row result.
  • DriverCapabilities: grants are declared explicitly, later fields default to
    not supported (hints, absent_is_miss, device_memory, multi_span).
  • Rows are RowIO(key, spans); RegionLayout carries memory_kind. Memory kind
    is verified at register; hint and multi-span mismatches are the caller's to
    avoid. A hint is an opaque immutable snapshot handed only to a driver that
    declares hints.
  • Row statuses: MISS is a reported absence with the destination untouched; FAULT
    is any failure; CANCELLED only for rows that never started. Cancel is best
    effort. Object format and integrity are each driver's own.

blob/keys.py holds the key encoding (prefix/v1/hex(name)). base/memory.py
is a byte-identical copy of MemoryKind from #20117; whichever PR lands second
drops its copy.

The test tooling (_torch/disaggregation/testing/, ships in the wheel so a
driver's own CI can import it; no engine module imports it, and a test guards that)

  • driver_conformance.DriverConformance: the checks every driver must pass,
    observed through the protocol alone. A driver's test module subclasses it,
    provides make_driver and whichever scenario hooks its store can stage. The
    harness keeps memory alive when a driver never proved its access ended.
  • memory_store.MemoryDriver: an in-process store and driver, in blocking,
    background (handle before completion) and controlled (test releases each
    stage) modes, with a trailer and CRC32 as its own integrity mechanism.
  • broken_drivers: drivers that each break exactly one rule. A pairing test runs
    each check against the sound driver (must pass) and the broken one (must
    fail), so a weakened assertion is caught before a real driver meets it.

Test Coverage

All CPU-only, under tests/unittest/_torch/disaggregation/blob/ (in l0_cpu.yml
through the directory):

  • test_memory_driver.py: the conformance suite run five ways (blocking,
    hint-free signatures, background, shared persistent store, pre-registered
    pool); controlled-mode tests for result/access independence, cancel, probe
    limits, drain/close ordering and harness retention; 39 pairing tests, one per
    broken driver.
  • test_blob_format.py: keys, value types, capability defaults, trailer.
  • test_testing_isolation.py: AST scan that nothing outside testing/ imports it.

Local run with pytest-threadleak: 229 passed, 37 skipped (skips are hooks a
given suite does not stage).

PR Checklist

Please review the following before submitting your PR:

  • PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

  • PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

  • Test cases are provided for new code paths (see test instructions)

  • If PR introduces API changes, an appropriate PR label is added - either api-compatible or api-breaking. For api-breaking, include BREAKING in the PR title.

  • Any new dependencies have been scanned for license and vulnerabilities

  • CODEOWNERS updated if ownership changes

  • Documentation updated as needed

  • Update tava architecture diagram if there is a significant design change in PR.

  • The reviewers assigned automatically/manually are appropriate for the PR.

  • Please check this after reviewing the above items as appropriate for this PR.

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… driver

Defines the private StoreDriver contract, object format and key encoding for KV rows shared through a byte store. An in-memory store and a controlled driver let the tests pin the contract on CPU.

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
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nv-xtf marked this pull request as ready for review October 14, 2026 07:03
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📥 Commits

Reviewing files that changed from the base of the PR and between e153916 and 09fa576.

📒 Files selected for processing: 10
  • tensorrt_llm/_torch/disaggregation/base/memory.py
  • tensorrt_llm/_torch/disaggregation/blob/__init__.py
  • tensorrt_llm/_torch/disaggregation/blob/store.py
  • tensorrt_llm/_torch/disaggregation/testing/__init__.py
  • tensorrt_llm/_torch/disaggregation/testing/broken_drivers.py
  • tensorrt_llm/_torch/disaggregation/testing/driver_conformance.py
  • tensorrt_llm/_torch/disaggregation/testing/memory_store.py
  • tests/unittest/_torch/disaggregation/blob/test_blob_format.py
  • tests/unittest/_torch/disaggregation/blob/test_memory_driver.py
  • tests/unittest/_torch/disaggregation/blob/test_testing_isolation.py
🚧 Files skipped from review as they are similar to previous changes: 1
  • tensorrt_llm/_torch/disaggregation/blob/init.py

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Walkthrough

Adds versioned blob-key encoding and a store-driver contract. It also adds an in-process memory store and driver, object-trailer validation, reusable driver conformance checks, and CPU-only tests for operation, memory-access, and lifecycle behavior.

Changes

Blob Store

Layer / File(s) Summary
Key and store-driver contracts
tensorrt_llm/_torch/disaggregation/blob/*, tensorrt_llm/_torch/disaggregation/base/memory.py, tests/unittest/_torch/disaggregation/blob/test_blob_format.py
Adds package documentation, the MemoryKind enum, versioned blob-key encoding, and the store-driver contract. Tests cover key encoding and validation of contract values.
Memory store and row transfers
tensorrt_llm/_torch/disaggregation/testing/host_memory.py, tensorrt_llm/_torch/disaggregation/testing/memory_store.py, tensorrt_llm/_torch/disaggregation/testing/object_trailer.py, tests/unittest/_torch/disaggregation/blob/test_blob_format.py, tests/unittest/_torch/disaggregation/blob/test_memory_driver.py
Adds guarded host memory, object trailers, and a memory-backed store driver with automatic and controlled transfer modes. Tests cover integrity, row outcomes, memory access, and operation lifecycle.
Conformance harness and lifecycle checks
tensorrt_llm/_torch/disaggregation/testing/*, tests/unittest/_torch/disaggregation/blob/test_memory_driver.py, tests/unittest/_torch/disaggregation/blob/test_testing_isolation.py
Adds a reusable conformance harness and broken-driver implementations. Checks cover driver rules, capabilities, access completion, probing, draining, cleanup, and testing-package import isolation.

Priority: ⬇️ Low

Estimated code review effort: 4 (Complex) | ~60 minutes

Change: Feature

Sequence Diagram(s)

sequenceDiagram
  participant Harness
  participant MemoryDriver
  participant MemoryStore
  Harness->>MemoryDriver: Submit rows referencing registered memory
  MemoryDriver->>MemoryStore: Commit put object or retrieve stored object
  MemoryStore-->>MemoryDriver: Return commit outcome or stored object
  MemoryDriver-->>Harness: Publish row results and transfer valid get payloads
Loading
Merge Risk: ⚪ Minimal · up to 09fa5

This change adds an internal interface between the blob cache backend and byte stores, plus an in-memory implementation and tests that run only on CPU. Nothing in the serving path uses it yet, so users should see no change in behavior. No unresolved defects remain, and the change is ready to merge after normal CI.

Pre-merge checks: Passed 4 · Failed 1

Failed Failed checks: 1 warning

Check name Status Explanation Resolution
Docstring Coverage Warning Docstring coverage is 23.72% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 468 functions across 17 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
Passed Passed checks: 4 passed
Check name Status Explanation
Title check Passed The title follows the required format and clearly summarizes the main change: adding the blob store driver boundary and an in-memory test driver.
Description check Passed The description explains the purpose, boundary design, test tooling, test coverage, and local test results. It includes the required sections and checklist. Some checklist items, such as API labeling …
Linked Issues check Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check Passed Check skipped because no linked issues were found for this pull request.
Full details: Description check

Explanation

The description explains the purpose, boundary design, test tooling, test coverage, and local test results. It includes the required sections and checklist. Some checklist items, such as API labeling and documentation impact, are not explicitly resolved, but the description is otherwise complete and relevant.

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🧹 Nitpick comments: 1
tensorrt_llm/_torch/disaggregation/blob/format.py: 1

43-44: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Add a test for the format-version rejection branch.

The module docstring says that an incompatible change bumps FORMAT_VERSION. Readers rely on this branch to reject objects that have an old or new format. test_trailer_round_trip_and_mismatches covers these mismatches: bad magic, wrong name, wrong length and wrong size. It does not cover the version mismatch. If a later change drops or reorders this check, a stale object passes check_trailer, and no test fails.

Add one case to tests/unittest/_torch/disaggregation/blob/test_memory_store.py::test_trailer_round_trip_and_mismatches:

🧪 Proposed test addition
import struct

stale = struct.pack("<4sH2x16sQ", b"TLBK", FORMAT_VERSION + 1, name_digest(b"name"), 64)
assert check_trailer(stale, b"name", 64) == (
    f"format version {FORMAT_VERSION + 1}, expected {FORMAT_VERSION}"
)

As per path instructions: "A new or changed validation rule, error path ... with no meaningful test."

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Review comment at @tensorrt_llm/_torch/disaggregation/blob/format.py around
lines 43 - 44:
Add a format-version mismatch case to test_trailer_round_trip_and_mismatches in
the blob memory-store tests, constructing a trailer with a version different
from FORMAT_VERSION and asserting check_trailer returns the expected version
error.

Source: Path instructions


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Nitpick comments:
Review comments at @tensorrt_llm/_torch/disaggregation/blob/format.py:
- Around line 43-44: Add a format-version mismatch case to
test_trailer_round_trip_and_mismatches in the blob memory-store tests,
constructing a trailer with a version different from FORMAT_VERSION and
asserting check_trailer returns the expected version error.

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  • tensorrt_llm/_torch/disaggregation/blob/__init__.py
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  • tensorrt_llm/_torch/disaggregation/blob/keys.py
  • tensorrt_llm/_torch/disaggregation/blob/store.py
  • tests/unittest/_torch/disaggregation/blob/host_memory.py
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Thanks for the PR! I plan to take another review pass once the open threads are addressed.

…ck bites

Rows carry key and payload only; drivers own format and integrity, and NOT_READY and DECLINED are results rather than faults. Driver checks run through a factory with cleanup, and each is proven by a driver that breaks exactly its rule.

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>

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🧹 Nitpick comments: 1
tensorrt_llm/_torch/disaggregation/blob/store.py: 1

88-90: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick win

Cover RegionLayout validation.

The existing tests cover both RowResult and DriverCapabilities. Add coverage for RegionLayout rejecting non-positive dimensions.

Suggested test
     DriverCapabilities,
+    RegionLayout,
     RowIO,
@@
 def test_span_layout_and_row_validate_their_numbers() -> None:
+    with pytest.raises(ValueError):
+        RegionLayout(0, 1)
     with pytest.raises(ValueError):
         Span(-1, 8)
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Review comment at @tensorrt_llm/_torch/disaggregation/blob/store.py around lines
88 - 90:
Add coverage in test_span_layout_and_row_validate_their_numbers verifying that
RegionLayout rejects zero and negative dimensions with ValueError; keep the
existing Span and row validation assertions unchanged.

Source: Path instructions


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only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.

Nitpick comments:
Review comments at @tensorrt_llm/_torch/disaggregation/blob/store.py:
- Around line 88-90: Add coverage in
test_span_layout_and_row_validate_their_numbers verifying that RegionLayout
rejects zero and negative dimensions with ValueError; keep the existing Span and
row validation assertions unchanged.

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📒 Files selected for processing: 9
  • tensorrt_llm/_torch/disaggregation/blob/__init__.py
  • tensorrt_llm/_torch/disaggregation/blob/keys.py
  • tensorrt_llm/_torch/disaggregation/blob/store.py
  • tests/unittest/_torch/disaggregation/blob/driver_conformance.py
  • tests/unittest/_torch/disaggregation/blob/host_memory.py
  • tests/unittest/_torch/disaggregation/blob/memory_store.py
  • tests/unittest/_torch/disaggregation/blob/object_trailer.py
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  • tests/unittest/_torch/disaggregation/blob/test_memory_driver.py

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…declare it

The backend passes a hint only to a driver whose capabilities declare hints and rejects it before dispatch otherwise, so hint-free drivers keep their calls as they were. New capabilities default to unsupported; fields whose default would grant something stay explicit.

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
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…ke more driver checks bite

A DEVICE region is rejected unless the driver declares device_memory, a MISS leaves its destination untouched, and cancel, put sources, absent keys and row limits now have checks a broken driver fails. The in-memory driver counts its background workers in drain and concludes an operation whose thread cannot start.

Signed-off-by: Tingfeng Xian <289617005+nv-xtf@users.noreply.github.com>
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Shixiaowei02 merged commit 032ea6d into NVIDIA:main Oct 20, 2026
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chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 20, 2026
MooncakeDriver implements the StoreDriver protocol over a set-up
MooncakeDistributedStore from SDK 0.3.13, zero copy from and into the
lender's registered host slots: a put starts a put session per key,
writes every row in one scatter (batch_put_from_multi_buffer_ranges),
ends the sessions of rows written whole and revokes the rest; a get is
one batch_get_into.

Get stays on batch_get_into because get sessions lost on GB200: every
SDK call waits for the GIL on return, so next to a busy Python thread
the three session calls took 10-12 ms longer at p99 than one
batch_get_into, and they read at 69-97% of its bandwidth with one or
two workers. Put sessions came within 6% of batch_put_from or beat it
at four workers, and they revoke a failed row only after the scatter
finished, so a late write cannot land in space the master already gave
another object (batch_put_from frees it on a timeout or a partial
post).

- Access end differs by call. The put scatter waits, without a timeout,
  until every fragment it posted is physically finished, so its return
  ends access whatever it answers. batch_get_into can answer
  TRANSFER_FAIL for a future that gave up while its transfer still runs,
  so a get ends access only when no row answers TRANSFER_FAIL. A raise
  or a wrong answer count leaves access unproven. The driver's put and
  get return only after every SDK call they make has returned, so an
  operation that did not end its access then never will:
  access_unprovable is true, it keeps its regions from being
  unregistered (DriverRejected) and makes drain answer False at once.
  Start, end, revoke and existence calls touch metadata only.
- Put sessions are per key and per client, so the driver ends or revokes
  only sessions this put started, and ends only rows written whole,
  since ending marks the object complete. A session that cannot be ended
  or revoked is left open and revoked again in drain, once nothing can
  touch memory.
- Codes become row results here and nowhere else: OBJECT_NOT_FOUND is a
  MISS; REPLICA_IS_NOT_READY on a get, a key this client is writing
  (session start INVALID_PARAMS, which a cachelib master also answers
  for an object over 16 MiB - 16 B) and a key another client holds
  uncommitted (OBJECT_ALREADY_EXISTS, batch_is_exist 0) are NOT_READY; a
  full pool (NO_AVAILABLE_HANDLE) is DECLINED; a key that already exists
  is READY once batch_is_exist confirms it; a row whose read lease
  expired is read once more, and that reread is READY or a FAULT, never
  a MISS or NOT_READY, since the first read already wrote the slot; an
  object of the wrong size and the rest are FAULTs with codes. An object
  shorter than its row lands in the slot's head before batch_get_into
  answers its size, so that row is a FAULT whose slot is not untouched;
  a longer one is refused without a transfer.
- Admission and answer mapping take the common case batch-wise (every
  row in one registration; every row started, written or read whole)
  and fall back to row by row otherwise: at 0.25-1 MiB rows the driver
  handles hundreds of thousands of rows a second, all under the GIL.
- Admission refusals (draining or closed, an empty or repeated key, a
  row of more than one span or over 2 GiB, a span outside every live
  registration, a hint) raise DriverRejected before anything is
  recorded; after that put/get cannot raise, and any later fault becomes
  row faults with access left open. Rows must stay under 2 GiB because
  the put scatter answers in 32 bits. put/get run concurrently with each
  other and with drain, which waits for the calls in progress; shared
  state sits behind one small lock never held across an SDK call.
- Capabilities: absent_is_miss, since the master answers
  OBJECT_NOT_FOUND for a key it does not hold, while failures keep their
  own codes and stay FAULTs; host memory only, so register refuses a
  DEVICE region before the SDK is asked; rows of one span, since
  batch_get_into reads each object into one buffer (a multi-span get
  would need batch_get_into_multi_buffers).
- close() closes the SDK client once a drain returned True and every
  region is unregistered. Production never calls it: the SDK's close
  holds the GIL through RPCs while the backend finalizes on the
  manager's thread; process exit releases the client.

fake_mooncake.py implements only the SDK calls the driver may use, with
0.3.13's semantics over real bytes; test_mooncake_driver.py pins the
mapping, the put session bookkeeping, the access-end rules, drain, close
and a backend round trip over it, and runs NVIDIA#20217's driver_conformance
checks over the fake SDK with every scenario hook the fake can stage: a
get of one key held at the SDK call, a key another client is writing, a
full pool, a raise inside a put, a failing read and a get whose access
end cannot be proven.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 20, 2026
The fake SDK shows what the driver asks for; only a real master shows
whether the SDK answers that way. test_mooncake_real.py runs NVIDIA#20217's
driver_conformance checks over the real pool, one fresh client per
check, with the two scenarios a real master can stage: a key another
client is still writing, which both directions find not ready, and a get
held inside the SDK, which delays neither another get nor drain. It runs
the backend between real clients for each answer the fake SDK models
beyond them: a full pool that declines rows, a get that lands a shorter
object's bytes and refuses a longer one, and a second publish of keys
whose put sessions the same client still holds; and four workers round
trip 2000 distinct rows byte for byte. Clients are closed only after
every backend over them shut down cleanly, so a failing test cannot
close one under a running call.

The tested clients give the pool no segment and keep no local buffer,
so every object sits in another process's segment and nothing can fall
back to the SDK's copying path. running_segment_provider, in
test_common/mooncake_utils.py, gives a pool its memory from that
separate process. The file runs only with TRTLLM_MOONCAKE_REAL=1.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 20, 2026
… the blob backend

The CPU and real-pool tests drive the backend with host slots of their
own; none shows that what the staging lender lends is what the backend
moves. test_blob_backend_round_trip.py does it end to end on a GPU: one
real KV cache manager publishes a request's blocks through its lender's
staging slots, another fetches them into a request of its own, and a
test holder drives the lender as the runtime will (lend, wait for the
view, submit it as it stands, wait for quiescence, mark what arrived,
release).

- Pages come back byte for byte and resume_bounds covers the prompt,
  over the in-memory store and, with TRTLLM_MOONCAKE_REAL=1, a real
  Mooncake pool.
- A fetch whose later blocks fault marks only the delivered prefix, so
  resume_bounds stops at the first gap.

The in-memory store and driver come from NVIDIA#20217's testing package.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 21, 2026
MooncakeDriver implements the StoreDriver protocol over a set-up
MooncakeDistributedStore from SDK 0.3.13, zero copy from and into the
lender's registered host slots: a put starts a put session per key,
writes every row in one scatter (batch_put_from_multi_buffer_ranges),
ends the sessions of rows written whole and revokes the rest; a get is
one batch_get_into.

Get stays on batch_get_into because get sessions lost on GB200: every
SDK call waits for the GIL on return, so next to a busy Python thread
the three session calls took 10-12 ms longer at p99 than one
batch_get_into, and they read at 69-97% of its bandwidth with one or
two workers. Put sessions came within 6% of batch_put_from or beat it
at four workers, and they revoke a failed row only after the scatter
finished, so a late write cannot land in space the master already gave
another object (batch_put_from frees it on a timeout or a partial
post).

- Access end differs by call. The put scatter waits, without a timeout,
  until every fragment it posted is physically finished, so its return
  ends access whatever it answers. batch_get_into can answer
  TRANSFER_FAIL for a future that gave up while its transfer still runs,
  so a get ends access only when no row answers TRANSFER_FAIL. A raise
  or a wrong answer count leaves access unproven. The driver's put and
  get return only after every SDK call they make has returned, so an
  operation that did not end its access then never will:
  access_unprovable is true, it keeps its regions from being
  unregistered (DriverRejected) and makes drain answer False at once.
  Start, end, revoke and existence calls touch metadata only.
- Put sessions are per key and per client, so the driver ends or revokes
  only sessions this put started, and ends only rows written whole,
  since ending marks the object complete. A session that cannot be ended
  or revoked is left open and revoked again in drain, once nothing can
  touch memory.
- Codes become row results here and nowhere else: OBJECT_NOT_FOUND is a
  MISS; REPLICA_IS_NOT_READY on a get, a key this client is writing
  (session start INVALID_PARAMS, which a cachelib master also answers
  for an object over 16 MiB - 16 B) and a key another client holds
  uncommitted (OBJECT_ALREADY_EXISTS, batch_is_exist 0) are NOT_READY; a
  full pool (NO_AVAILABLE_HANDLE) is DECLINED; a key that already exists
  is READY once batch_is_exist confirms it; a row whose read lease
  expired is read once more, and that reread is READY or a FAULT, never
  a MISS or NOT_READY, since the first read already wrote the slot; an
  object of the wrong size and the rest are FAULTs with codes. An object
  shorter than its row lands in the slot's head before batch_get_into
  answers its size, so that row is a FAULT whose slot is not untouched;
  a longer one is refused without a transfer.
- Admission and answer mapping take the common case batch-wise (every
  row in one registration; every row started, written or read whole)
  and fall back to row by row otherwise: at 0.25-1 MiB rows the driver
  handles hundreds of thousands of rows a second, all under the GIL.
- Admission refusals (draining or closed, an empty or repeated key, a
  row of more than one span or over 2 GiB, a span outside every live
  registration, a hint) raise DriverRejected before anything is
  recorded; after that put/get cannot raise, and any later fault becomes
  row faults with access left open. Rows must stay under 2 GiB because
  the put scatter answers in 32 bits. put/get run concurrently with each
  other and with drain, which waits for the calls in progress; shared
  state sits behind one small lock never held across an SDK call.
- Capabilities: absent_is_miss, since the master answers
  OBJECT_NOT_FOUND for a key it does not hold, while failures keep their
  own codes and stay FAULTs; host memory only, so register refuses a
  DEVICE region before the SDK is asked; rows of one span, since
  batch_get_into reads each object into one buffer (a multi-span get
  would need batch_get_into_multi_buffers).
- close() closes the SDK client once a drain returned True and every
  region is unregistered. Production never calls it: the SDK's close
  holds the GIL through RPCs, while the lender's hold is given back on
  the manager's thread; process exit releases the client.

fake_mooncake.py implements only the SDK calls the driver may use, with
0.3.13's semantics over real bytes; test_mooncake_driver.py pins the
mapping, the put session bookkeeping, the access-end rules, drain, close
and a backend round trip over it, and runs NVIDIA#20217's driver_conformance
checks over the fake SDK with every scenario hook the fake can stage: a
get of one key held at the SDK call, a key another client is writing, a
full pool, a raise inside a put, a failing read and a get whose access
end cannot be proven.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 21, 2026
The fake SDK shows what the driver asks for; only a real master shows
whether the SDK answers that way. test_mooncake_real.py runs NVIDIA#20217's
driver_conformance checks over the real pool, one fresh client per
check, with the two scenarios a real master can stage: a key another
client is still writing, which both directions find not ready, and a get
held inside the SDK, which delays neither another get nor drain. It runs
the backend between real clients for each answer the fake SDK models
beyond them: a full pool that declines rows, a get that lands a shorter
object's bytes and refuses a longer one, and a second publish of keys
whose put sessions the same client still holds; and four workers round
trip 2000 distinct rows byte for byte. Clients are closed only after
every backend over them shut down cleanly, so a failing test cannot
close one under a running call.

The tested clients give the pool no segment and keep no local buffer,
so every object sits in another process's segment and nothing can fall
back to the SDK's copying path. running_segment_provider, in
test_common/mooncake_utils.py, gives a pool its memory from that
separate process. The file runs only with TRTLLM_MOONCAKE_REAL=1.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 21, 2026
… the blob backend

The CPU and real-pool tests drive the backend with host slots of their
own; none shows that what the staging lender lends is what the backend
moves. test_blob_backend_round_trip.py does it end to end on a GPU: one
real KV cache manager publishes a request's blocks through its lender's
staging slots, another fetches them into a request of its own, and a
test lease holder drives the lender as the runtime will (lend, wait for
the view, submit it as it stands, wait for quiescence, mark what
arrived, release).

- Pages come back byte for byte and resume_bounds covers the prompt,
  over the in-memory store and, with TRTLLM_MOONCAKE_REAL=1, a real
  Mooncake pool.
- A fetch whose later blocks fault marks only the delivered prefix, so
  resume_bounds stops at the first gap.

The in-memory store and driver come from NVIDIA#20217's testing package.

The test builds each backend itself, as a factory will: it opens the
driver, takes the lender's hold, registers the regions with
RegionBinding, starts BlobBackend, and gives the hold back once the
backend shut down. The lender's MemoryRegion names no memory kind, which
NVIDIA#20117's SlotRegion requires, so the test registers host-memory
SlotRegions made from the lender's regions, as a runtime must until the
lender's regions name their memory kind.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
MooncakeDriver implements the StoreDriver protocol over a set-up
MooncakeDistributedStore from SDK 0.3.13, zero copy from and into the
lender's registered host slots: a put starts a put session per key,
writes every row in one scatter (batch_put_from_multi_buffer_ranges),
ends the sessions of rows written whole and revokes the rest; a get is
one batch_get_into.

Get stays on batch_get_into because get sessions lost on GB200: every
SDK call waits for the GIL on return, so next to a busy Python thread
the three session calls took 10-12 ms longer at p99 than one
batch_get_into, and they read at 69-97% of its bandwidth with one or
two workers. Put sessions came within 6% of batch_put_from or beat it
at four workers, and they revoke a failed row only after the scatter
finished, so a late write cannot land in space the master already gave
another object (batch_put_from frees it on a timeout or a partial
post).

- Access end differs by call. The put scatter waits, without a timeout,
  until every fragment it posted is physically finished, so its return
  ends access whatever it answers. batch_get_into can answer
  TRANSFER_FAIL for a future that gave up while its transfer still runs,
  so a get ends access only when no row answers TRANSFER_FAIL. A raise
  or a wrong answer count leaves access unproven. The driver's put and
  get return only after every SDK call they make has returned, so an
  operation that did not end its access then never will:
  access_unprovable is true, it keeps its regions from being
  unregistered (DriverRejected) and makes drain answer False at once.
  Start, end, revoke and existence calls touch metadata only. The module
  docstring cites the 0.3.13 sources each rule was read from.
- Put sessions are per key and per client, so the driver ends or revokes
  only sessions this put started, and ends only rows written whole,
  since ending marks the object complete. It never starts a session for
  a key it already holds: a key another of its puts is writing is
  NOT_READY at once, and a key whose session it left open is READY when
  batch_is_exist shows its object complete, whoever wrote it, and
  NOT_READY otherwise.
- A session is left open when it cannot be ended or revoked, when its
  end went unanswered (RPC_FAIL or RPC_TIMEOUT, even if a retry is then
  refused, or a raise), since the master matches a late end on key and
  client only and would complete the next allocation of the key, and
  when a session start or a whole put raised or miscounted. drain
  revokes those once no call runs and none is unprovable. A row whose
  scatter answered TRANSFER_FAIL is left open too, but drain never
  revokes it: over TCP the initiator may give up while the target still
  applies data into the object's space, and a revoke frees that space at
  once, while the master frees an unfinished put only after its release
  timeout.
- Codes become row results here and nowhere else: OBJECT_NOT_FOUND is a
  MISS; REPLICA_IS_NOT_READY on a get, a key this driver holds and a
  key another client holds uncommitted (OBJECT_ALREADY_EXISTS,
  batch_is_exist 0) are NOT_READY; a session start's INVALID_PARAMS,
  which can then only be something else, such as a cachelib master's
  16 MiB - 16 B object cap, is a FAULT; a
  full pool (NO_AVAILABLE_HANDLE) is DECLINED; a key that already exists
  is READY once batch_is_exist confirms it; a row whose read lease
  expired is read once more, and that reread is READY or a FAULT, never
  a MISS or NOT_READY, since the first read already wrote the slot; an
  object of the wrong size and the rest are FAULTs with codes. An object
  shorter than its row lands in the slot's head before batch_get_into
  answers its size, so that row is a FAULT whose slot is not untouched;
  a longer one is refused without a transfer.
- Admission and answer mapping take the common case batch-wise (every
  row in one registration; every row written or read whole)
  and fall back to row by row otherwise: at 0.25-1 MiB rows the driver
  handles hundreds of thousands of rows a second, all under the GIL.
- Admission refusals (draining or closed, no rows, a repeated key, a
  row of more than one span or over 2 GiB, a span outside every live
  registration, a hint) raise DriverRejected before anything is
  recorded; after that put/get cannot raise, and any later fault becomes
  row faults with access left open. Rows must stay under 2 GiB because
  the put scatter answers in 32 bits. put/get run concurrently with each
  other and with drain, which waits for the calls in progress; shared
  state sits behind one small lock never held across an SDK call.
- Capabilities: absent_is_miss, since the master answers
  OBJECT_NOT_FOUND for a key it does not hold, while failures keep their
  own codes and stay FAULTs; host memory only, so register refuses a
  DEVICE region before the SDK is asked; rows of one span, since
  batch_get_into reads each object into one buffer (a multi-span get
  would need batch_get_into_multi_buffers).
- close() closes the SDK client once a drain returned True and every
  region is unregistered. Production never calls it: the SDK's close
  holds the GIL through RPCs, while the lender's hold is given back on
  the manager's thread; process exit releases the client.

fake_mooncake.py implements only the SDK calls the driver may use, with
0.3.13's semantics over real bytes; test_mooncake_driver.py pins the
mapping, the put session bookkeeping, the access-end rules, drain, close
and a backend round trip over it, and runs NVIDIA#20217's driver_conformance
checks over the fake SDK with every scenario hook the fake can stage: a
get of one key held at the SDK call, a key another client is writing, a
full pool, a raise inside a put, a failing read and a get whose access
end cannot be proven.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
The fake SDK shows what the driver asks for; only a real master shows
whether the SDK answers that way. test_mooncake_real.py runs NVIDIA#20217's
driver_conformance checks over the real pool, one fresh client per
check, with the two scenarios a real master can stage: a key another
client is still writing, which both directions find not ready, and a get
held inside the SDK, which delays neither another get nor drain. It runs
the backend between real clients for each answer the fake SDK models
beyond them: a full pool that declines rows, a get that lands a shorter
object's bytes and refuses a longer one, and a second publish of keys
whose put sessions the same client still holds, also once the first
put is stuck past the master's put_start_discard_timeout_sec (set to
2 s through a wrapper around mooncake_master): its keys stay skipped
and never read as existing until it ends; and four workers round trip
2000 distinct rows byte for byte. Clients are closed only after
every backend over them shut down cleanly, so a failing test cannot
close one under a running call.

The tested clients give the pool no segment and keep no local buffer,
so every object sits in another process's segment and nothing can fall
back to the SDK's copying path. running_segment_provider, in
test_common/mooncake_utils.py, gives a pool its memory from that
separate process. The file runs only with TRTLLM_MOONCAKE_REAL=1, and
fails unless mooncake_master ships with an installed SDK build and both
report 0.3.13; it prints both versions and records them as a test-suite
property.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
… the blob backend

The CPU and real-pool tests drive the backend with host slots of their
own; none shows that what the staging lender lends is what the backend
moves. test_blob_backend_round_trip.py does it end to end on a GPU: one
real KV cache manager publishes a request's blocks through its lender's
staging slots, another fetches them into a request of its own, and a
test lease holder drives the lender as the runtime will (lend, wait for
the view, submit it as it stands, wait for quiescence, mark what
arrived, release).

- Pages come back byte for byte and resume_bounds covers the prompt's
  three whole blocks, over the in-memory store and, with
  TRTLLM_MOONCAKE_REAL=1, a real Mooncake pool.
- A fetch whose later blocks fault marks only the delivered prefix, so
  resume_bounds stops at the first gap.

The in-memory store and driver come from NVIDIA#20217's testing package.

The test builds each backend itself, as a factory will: it opens the
driver, takes the lender's hold, registers the regions with
RegionBinding, starts BlobBackend, and gives the hold back once the
backend shut down. The lender's MemoryRegion names no memory kind, which
NVIDIA#20117's SlotRegion requires, so the test registers host-memory
SlotRegions made from the lender's regions, as a runtime must until the
lender's regions name their memory kind.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
MooncakeDriver implements the StoreDriver protocol over a set-up
MooncakeDistributedStore from SDK 0.3.13, zero copy from and into the
lender's registered host slots: a put starts a put session per key,
writes every row in one scatter (batch_put_from_multi_buffer_ranges),
ends the sessions of rows written whole and revokes the rest; a get is
one batch_get_into.

Get stays on batch_get_into because get sessions lost on GB200: every
SDK call waits for the GIL on return, so next to a busy Python thread
the three session calls took 10-12 ms longer at p99 than one
batch_get_into, and they read at 69-97% of its bandwidth with one or
two workers. Put sessions came within 6% of batch_put_from or beat it
at four workers, and they revoke a failed row only after the scatter
finished, so a late write cannot land in space the master already gave
another object (batch_put_from frees it on a timeout or a partial
post).

- Access end differs by call. The put scatter waits, without a timeout,
  until every fragment it posted is physically finished, so its return
  ends access whatever it answers. batch_get_into can answer
  TRANSFER_FAIL for a future that gave up while its transfer still runs,
  so a get ends access only when no row answers TRANSFER_FAIL. A raise
  or a wrong answer count leaves access unproven. The driver's put and
  get return only after every SDK call they make has returned, so an
  operation that did not end its access then never will:
  access_unprovable is true, it keeps its regions from being
  unregistered (DriverRejected) and makes drain answer False at once.
  Start, end, revoke and existence calls touch metadata only. The module
  docstring cites the 0.3.13 sources each rule was read from.
- Put sessions are per key and per client, so the driver ends or revokes
  only sessions this put started, and ends only rows written whole,
  since ending marks the object complete. It never starts a session for
  a key it already holds: a key another of its puts is writing is
  NOT_READY at once, and a key whose session it left open is READY when
  batch_is_exist shows its object complete, whoever wrote it, and
  NOT_READY otherwise.
- A session is left open when it cannot be ended or revoked, when its
  end went unanswered (RPC_FAIL or RPC_TIMEOUT, even if a retry is then
  refused, or a raise), since the master matches a late end on key and
  client only and would complete the next allocation of the key, and
  when a session start or a whole put raised or miscounted. drain
  revokes those once no call runs and none is unprovable. A row whose
  scatter answered TRANSFER_FAIL is left open too, but drain never
  revokes it: over TCP the initiator may give up while the target still
  applies data into the object's space, and a revoke frees that space at
  once, while the master frees an unfinished put only after its release
  timeout.
- Codes become row results here and nowhere else: OBJECT_NOT_FOUND is a
  MISS; REPLICA_IS_NOT_READY on a get, a key this driver holds and a
  key another client holds uncommitted (OBJECT_ALREADY_EXISTS,
  batch_is_exist 0) are NOT_READY; a session start's INVALID_PARAMS,
  which can then only be something else, such as a cachelib master's
  16 MiB - 16 B object cap, is a FAULT; a
  full pool (NO_AVAILABLE_HANDLE) is DECLINED; a key that already exists
  is READY once batch_is_exist confirms it; a row whose read lease
  expired is read once more, and that reread is READY or a FAULT, never
  a MISS or NOT_READY, since the first read already wrote the slot; an
  object of the wrong size and the rest are FAULTs with codes. An object
  shorter than its row lands in the slot's head before batch_get_into
  answers its size, so that row is a FAULT whose slot is not untouched;
  a longer one is refused without a transfer.
- Admission and answer mapping take the common case batch-wise (every
  row in one registration; every row written or read whole)
  and fall back to row by row otherwise: at 0.25-1 MiB rows the driver
  handles hundreds of thousands of rows a second, all under the GIL.
- Admission refusals (draining or closed, no rows, a repeated key, a
  row of more than one span or over 2 GiB, a span outside every live
  registration, a hint) raise DriverRejected before anything is
  recorded; after that put/get cannot raise, and any later fault becomes
  row faults with access left open. Rows must stay under 2 GiB because
  the put scatter answers in 32 bits. put/get run concurrently with each
  other and with drain, which waits for the calls in progress; shared
  state sits behind one small lock never held across an SDK call.
- Capabilities: absent_is_miss, since the master answers
  OBJECT_NOT_FOUND for a key it does not hold, while failures keep their
  own codes and stay FAULTs; host memory only, so register refuses a
  DEVICE region before the SDK is asked; rows of one span, since
  batch_get_into reads each object into one buffer (a multi-span get
  would need batch_get_into_multi_buffers).
- close() closes the SDK client once a drain returned True and every
  region is unregistered. Production never calls it: the SDK's close
  holds the GIL through RPCs, while the lender's hold is given back on
  the manager's thread; process exit releases the client.

fake_mooncake.py implements only the SDK calls the driver may use, with
0.3.13's semantics over real bytes; test_mooncake_driver.py pins the
mapping, the put session bookkeeping, the access-end rules, drain, close
and a backend round trip over it, and runs NVIDIA#20217's driver_conformance
checks over the fake SDK with every scenario hook the fake can stage: a
get of one key held at the SDK call, a key another client is writing, a
full pool, a raise inside a put, a failing read and a get whose access
end cannot be proven.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
The fake SDK shows what the driver asks for; only a real master shows
whether the SDK answers that way. test_mooncake_real.py runs NVIDIA#20217's
driver_conformance checks over the real pool, one fresh client per
check, with the two scenarios a real master can stage: a key another
client is still writing, which both directions find not ready, and a get
held inside the SDK, which delays neither another get nor drain. It runs
the backend between real clients for each answer the fake SDK models
beyond them: a full pool that declines rows, a get that lands a shorter
object's bytes and refuses a longer one, and a second publish of keys
whose put sessions the same client still holds, also once the first
put is stuck past the master's put_start_discard_timeout_sec (set to
2 s through a wrapper around mooncake_master): its keys stay skipped
and never read as existing until it ends; and four workers round trip
2000 distinct rows byte for byte. Clients are closed only after
every backend over them shut down cleanly, so a failing test cannot
close one under a running call.

The tested clients give the pool no segment and keep no local buffer,
so every object sits in another process's segment and nothing can fall
back to the SDK's copying path. running_segment_provider, in
test_common/mooncake_utils.py, gives a pool its memory from that
separate process. The file runs only with TRTLLM_MOONCAKE_REAL=1, and
fails unless mooncake_master ships with an installed SDK build and both
report 0.3.13; it prints both versions and records them as a test-suite
property.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
… the blob backend

The CPU and real-pool tests drive the backend with host slots of their
own; none shows that what the staging lender lends is what the backend
moves. test_blob_backend_round_trip.py does it end to end on a GPU: one
real KV cache manager publishes a request's blocks through its lender's
staging slots, another fetches them into a request of its own, and a
test lease holder drives the lender as the runtime will (lend, wait for
the view, submit it as it stands, wait for quiescence, mark what
arrived, release).

- Pages come back byte for byte and resume_bounds covers the prompt's
  three whole blocks, over the in-memory store and, with
  TRTLLM_MOONCAKE_REAL=1, a real Mooncake pool.
- A fetch whose later blocks fault marks only the delivered prefix, so
  resume_bounds stops at the first gap.

The in-memory store and driver come from NVIDIA#20217's testing package.

The test builds each backend itself, as a factory will: it opens the
driver, takes the lender's hold, registers the regions with
RegionBinding, starts BlobBackend, and gives the hold back once the
backend shut down. The lender's MemoryRegion names no memory kind, which
NVIDIA#20117's SlotRegion requires, so the test registers host-memory
SlotRegions made from the lender's regions, as a runtime must until the
lender's regions name their memory kind.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
MooncakeDriver implements the StoreDriver protocol over a set-up
MooncakeDistributedStore from SDK 0.3.13, zero copy from and into the
lender's registered host slots: a put starts a put session per key,
writes every row in one scatter (batch_put_from_multi_buffer_ranges),
ends the sessions of rows written whole and revokes the rest; a get is
one batch_get_into.

Get stays on batch_get_into because get sessions lost on GB200: every
SDK call waits for the GIL on return, so next to a busy Python thread
the three session calls took 10-12 ms longer at p99 than one
batch_get_into, and they read at 69-97% of its bandwidth with one or
two workers. Put sessions came within 6% of batch_put_from or beat it
at four workers, and they revoke a failed row only after the scatter
finished, so a late write cannot land in space the master already gave
another object (batch_put_from frees it on a timeout or a partial
post).

- Access end differs by call. The put scatter waits, without a timeout,
  until every fragment it posted is physically finished, so its return
  ends access whatever it answers. batch_get_into can answer
  TRANSFER_FAIL for a future that gave up while its transfer still runs,
  so a get ends access only when no row answers TRANSFER_FAIL. A raise
  or a wrong answer count leaves access unproven. The driver's put and
  get return only after every SDK call they make has returned, so an
  operation that did not end its access then never will:
  access_unprovable is true, it keeps its regions from being
  unregistered (DriverRejected) and makes drain answer False at once.
  Start, end, revoke and existence calls touch metadata only. The module
  docstring cites the 0.3.13 sources each rule was read from.
- Put sessions are per key and per client, so the driver ends or revokes
  only sessions this put started, and ends only rows written whole,
  since ending marks the object complete. It never starts a session for
  a key it already holds: a key another of its puts is writing is
  NOT_READY at once, and a key whose session it left open is READY when
  batch_is_exist shows its object complete, whoever wrote it, and
  NOT_READY otherwise.
- A session is left open when it cannot be ended or revoked, when its
  end went unanswered (RPC_FAIL or RPC_TIMEOUT, even if a retry is then
  refused, or a raise), since the master matches a late end on key and
  client only and would complete the next allocation of the key, and
  when a session start or a whole put raised or miscounted. drain
  revokes those once no call runs and none is unprovable. A row whose
  scatter answered TRANSFER_FAIL is left open too, but drain never
  revokes it: over TCP the initiator may give up while the target still
  applies data into the object's space, and a revoke frees that space at
  once, while the master frees an unfinished put only after its release
  timeout.
- Codes become row results here and nowhere else: OBJECT_NOT_FOUND is a
  MISS; REPLICA_IS_NOT_READY on a get, a key this driver holds and a
  key another client holds uncommitted (OBJECT_ALREADY_EXISTS,
  batch_is_exist 0) are NOT_READY; a session start's INVALID_PARAMS,
  which can then only be something else, such as a cachelib master's
  16 MiB - 16 B object cap, is a FAULT; a
  full pool (NO_AVAILABLE_HANDLE) is DECLINED; a key that already exists
  is READY once batch_is_exist confirms it; a row whose read lease
  expired is read once more, and that reread is READY or a FAULT, never
  a MISS or NOT_READY, since the first read already wrote the slot; an
  object of the wrong size and the rest are FAULTs with codes. An object
  shorter than its row lands in the slot's head before batch_get_into
  answers its size, so that row is a FAULT whose slot is not untouched;
  a longer one is refused without a transfer.
- Admission and answer mapping take the common case batch-wise (every
  row in one registration; every row written or read whole)
  and fall back to row by row otherwise: at 0.25-1 MiB rows the driver
  handles hundreds of thousands of rows a second, all under the GIL.
- Admission refusals (draining or closed, no rows, a repeated key, a
  row of more than one span or over 2 GiB, a span outside every live
  registration, a hint) raise DriverRejected before anything is
  recorded; after that put/get cannot raise, and any later fault becomes
  row faults with access left open. Rows must stay under 2 GiB because
  the put scatter answers in 32 bits. put/get run concurrently with each
  other and with drain, which waits for the calls in progress; shared
  state sits behind one small lock never held across an SDK call.
- Capabilities: absent_is_miss, since the master answers
  OBJECT_NOT_FOUND for a key it does not hold, while failures keep their
  own codes and stay FAULTs; host memory only, so register refuses a
  DEVICE region before the SDK is asked; rows of one span, since
  batch_get_into reads each object into one buffer (a multi-span get
  would need batch_get_into_multi_buffers).
- close() closes the SDK client once a drain returned True and every
  region is unregistered. Production never calls it: the SDK's close
  holds the GIL through RPCs, while the lender's hold is given back on
  the manager's thread; process exit releases the client.

fake_mooncake.py implements only the SDK calls the driver may use, with
0.3.13's semantics over real bytes; test_mooncake_driver.py pins the
mapping, the put session bookkeeping, the access-end rules, drain, close
and a backend round trip over it, and runs NVIDIA#20217's driver_conformance
checks over the fake SDK with every scenario hook the fake can stage: a
get of one key held at the SDK call, a key another client is writing, a
full pool, a raise inside a put, a failing read and a get whose access
end cannot be proven.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
The fake SDK shows what the driver asks for; only a real master shows
whether the SDK answers that way. test_mooncake_real.py runs NVIDIA#20217's
driver_conformance checks over the real pool, one fresh client per
check, with the two scenarios a real master can stage: a key another
client is still writing, which both directions find not ready, and a get
held inside the SDK, which delays neither another get nor drain. It runs
the backend between real clients for each answer the fake SDK models
beyond them: a full pool that declines rows, a get that lands a shorter
object's bytes and refuses a longer one, and a second publish of keys
whose put sessions the same client still holds, also once the first
put is stuck past the master's put_start_discard_timeout_sec (set to
2 s through a wrapper around mooncake_master): its keys stay skipped
and never read as existing until it ends; and four workers round trip
2000 distinct rows byte for byte. Clients are closed only after
every backend over them shut down cleanly, so a failing test cannot
close one under a running call.

The tested clients give the pool no segment and keep no local buffer,
so every object sits in another process's segment and nothing can fall
back to the SDK's copying path. running_segment_provider, in
test_common/mooncake_utils.py, gives a pool its memory from that
separate process. The file runs only with TRTLLM_MOONCAKE_REAL=1, and
fails unless mooncake_master ships with an installed SDK build and both
report 0.3.13; it prints both versions and records them as a test-suite
property.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
chuangz0 added a commit to chuangz0/TensorRT-LLM that referenced this pull request Oct 22, 2026
… the blob backend

The CPU and real-pool tests drive the backend with host slots of their
own; none shows that what the staging lender lends is what the backend
moves. test_blob_backend_round_trip.py does it end to end on a GPU: one
real KV cache manager publishes a request's blocks through its lender's
staging slots, another fetches them into a request of its own, and a
test lease holder drives the lender as the runtime will (lend, wait for
the view, submit it as it stands, wait for quiescence, mark what
arrived, release).

- Pages come back byte for byte and resume_bounds covers the prompt's
  three whole blocks, over the in-memory store and, with
  TRTLLM_MOONCAKE_REAL=1, a real Mooncake pool.
- A fetch whose later blocks fault marks only the delivered prefix, so
  resume_bounds stops at the first gap.

The in-memory store and driver come from NVIDIA#20217's testing package.

The test builds each backend itself, as a factory will: it opens the
driver, takes the lender's hold, registers the regions with
RegionBinding, starts BlobBackend, and gives the hold back once the
backend shut down. The lender's MemoryRegion names no memory kind, which
NVIDIA#20117's SlotRegion requires, so the test registers host-memory
SlotRegions made from the lender's regions, as a runtime must until the
lender's regions name their memory kind.

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>
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6 participants