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[Core] Allow verified copy-based KV connectors with expandable segments#158

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[Core] Allow verified copy-based KV connectors with expandable segments#158
chriswritescode-dev wants to merge 1 commit into
local-inference-lab:mainfrom
chriswritescode-dev:backport/expandable-segments-kv-connector

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@chriswritescode-dev

@chriswritescode-dev chriswritescode-dev commented Jul 21, 2026

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Summary

Backports vLLM PR vllm-project#48243 / commit 81866d82 into the local inference lab fork.

  • Adds an explicit, default-off kv_connector_supports_expandable_segments assertion.
  • Allows verified copy-based connectors such as LMCacheConnectorV1 to run with PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True.
  • Preserves the existing rejection for connectors that pin or register KV memory.
  • Documents the corruption/RDMA risk of opting in an incompatible connector.

Scope

This PR intentionally contains only the vLLM-owned configuration change. The DCP gather/scatter, heterogeneous KV packing, DCP-local token validation, and LMCache allocator logging changes belong to the external LMCache package and are not duplicated in vLLM.

Duplicate-work check

No open PR in local-inference-lab/vllm covers this change. The corresponding upstream work remains open as vllm-project#48243; this PR is a direct backport for the fork rather than a competing upstream implementation.

Validation

  • .venv/bin/python -m pytest tests/v1/kv_connector/unit/test_config.py -v — 16 passed
  • .venv/bin/pre-commit run --files tests/v1/kv_connector/unit/test_config.py vllm/config/kv_transfer.py vllm/config/vllm.py — all applicable hooks passed, including ruff and mypy
  • .venv/bin/python -m compileall -q tests/v1/kv_connector/unit/test_config.py vllm/config/kv_transfer.py vllm/config/vllm.py — passed
  • git diff main...HEAD --check — passed

Model evaluation is not applicable because this changes startup configuration validation only and does not alter model execution or outputs.

Assistance disclosure

AI assistance was used to review repository ownership, transplant the existing upstream commit, and run validation. The substantive patch is the unchanged upstream commit authored by Carlos Molina.

Summary by CodeRabbit

  • New Features

    • Added an opt-in KV transfer configuration for connectors that support PyTorch’s expandable_segments memory allocator.
    • Copy-based LMCache connectors can now be used with expandable_segments:True when explicitly enabled.
  • Bug Fixes

    • Valid compatible configurations are no longer rejected.
    • Improved configuration guidance explains available alternatives when compatibility is not enabled.

…rejection

_verify_kv_transfer_compat conservatively rejects every KV connector when
PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True is set, because connectors
that pin or register KV cache memory (NixlConnector via ibv_reg_mr,
MooncakeConnector) break when the CUDA VMM allocator remaps physical pages.

Copy-based connectors are not affected: they move KV with CUDA kernels or
cudaMemcpy at transfer time, dereferencing virtual addresses on every call,
so physical remaps are transparent to them. For those deployments both
sanctioned escapes are strictly worse:

- Unsetting expandable_segments removes the anti-fragmentation margin, which
  on unified-memory platforms (e.g. GB10 / DGX Spark) directly causes CUDA
  OOM at previously working gpu_memory_utilization values.
- enable_cumem_allocator routes the weights load through the CuMem pool as
  well (gpu_worker wraps both tag="weights" and tag="kv_cache"), and tens
  of GB of cuMemCreate RM sysmem allocations OOM the NVIDIA driver
  (NVRM: NV_ERR_NO_MEMORY from nv_alloc_system_pages) on unified-memory
  boards - observed as a full node freeze mid weight-load.

Add KVTransferConfig.kv_connector_supports_expandable_segments (default
False) so the operator can assert their connector is copy-based and skip the
rejection. The default behavior is unchanged and the error message now
mentions the opt-out.

Signed-off-by: Carlos Molina <carlosmolina0615@gmail.com>
@github-actions

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coderabbitai Bot commented Jul 21, 2026

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Review Change Stack

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro Plus

Run ID: da3143ea-e0eb-416b-9783-7707896e59d7

📥 Commits

Reviewing files that changed from the base of the PR and between e12b91b and b8441cb.

📒 Files selected for processing (3)
  • tests/v1/kv_connector/unit/test_config.py
  • vllm/config/kv_transfer.py
  • vllm/config/vllm.py

📝 Walkthrough

Walkthrough

Adds an operator-declared KV connector capability for PyTorch expandable_segments, permits compatible connectors during validation, updates rejection guidance, and tests both opt-in acceptance and default rejection for LMCache connectors.

Changes

Expandable Segments KV Compatibility

Layer / File(s) Summary
Capability declaration and compatibility gate
vllm/config/kv_transfer.py, vllm/config/vllm.py
KVTransferConfig adds kv_connector_supports_expandable_segments; compatibility validation allows declared support and updates the incompatibility message.
Compatibility validation tests
tests/v1/kv_connector/unit/test_config.py
Configuration helpers pass the capability flag, and LMCache tests cover opt-in acceptance and default rejection.

Estimated code review effort: 3 (Moderate) | ~20 minutes

Suggested reviewers: nicklucche

Sequence Diagram(s)

sequenceDiagram
  participant VllmConfig
  participant KVTransferConfig
  participant LMCacheConnector
  VllmConfig->>KVTransferConfig: Read connector capability flag
  KVTransferConfig->>LMCacheConnector: Identify configured connector
  VllmConfig->>LMCacheConnector: Allow or reject expandable_segments
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🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title clearly matches the main change: allowing verified copy-based KV connectors to work with expandable segments.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
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.
✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests

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