fix(kv): allow engine-driven expandable segments - #553
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📝 WalkthroughWalkthroughThe KV transfer compatibility check now allows ChangesLMCache expandable segments compatibility
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to The validator now allows engine-driven LMCache configurations with PyTorch expandable segments, while continuing to reject other modes. A custom external connector using the same configured name could bypass the allocator compatibility guard and cause KV-transfer corruption or availability failures, so the change is mergeable with explicit owner awareness and follow-up to bind the exemption to a trusted implementation or capability. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@tests/v1/kv_connector/unit/test_config.py`:
- Line 104: Update the _build_config docstring to use Google-style Args:,
Returns:, and Raises: sections, documenting all helper parameters including
kv_connector_extra_config and stating that it returns a VllmConfig with its
applicable error behavior.
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Fix all unresolved CodeRabbit comments on this PR:
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- Create a new PR with the fixes
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tests/v1/kv_connector/unit/test_config.pyvllm/config/vllm.py
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R26 packaged-integration validation: this pull request is included in |
R27 integration validationThe change represented by this PR is included in the qualified, source-locked Qualification used four stock-clock RTX PRO 6000 Blackwell Workstation Edition
FP8 no-speculation and NVFP4 DFlash2 external-cache configurations also passed This is an integration and regression gate, not an isolated attribution of the |
1328cb4
into
local-inference-lab:dev/jovian-judgement
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Included in Source validation: replaying all 32 R35 review heads on the pinned base exactly reproduces the released Docker's vLLM tree; all 6,870 installed tracked files match. JJ additionally preserves Luke's DS4.1 work and #734. The final composition passed 247 focused checkpoint/scheduler, sampler/warmup and native GPU tests. This is combined-source evidence, not a fresh performance or full-model qualification for this individual PR. Publication-history clarification: the individual merge linked above is in JJ's first-parent history. It replaces the receipt's archived wrapper-merge reference; GitHub's historical merge SHA may still identify that archive. See #731 for component review order and qualification limits. |
Preserve the reviewed source head c6b1530 and its contributor history. The first parent records the ordered serving-source composition. Whole-tree equality and installed-artifact verification are publication gates. Review: #553 Assisted-by: OpenAI Codex Signed-off-by: Martin Vit <martin@voipmonitor.org>
Summary
Make the expandable-segments validator transfer-mode aware for LMCache MP.
lmcache_drivenstill requires the shareable cuMem allocatorengine_drivenremains valid with PyTorch expandable segments because vLLM workers own gather/scatterTests
Duplicate-work note
No open Jovian Judgement PR isolates this validator behavior. This is intentionally separate from the cuMem transport PR.
AI assistance disclosure
AI assistance was used in preparing this contribution.
Summary by CodeRabbit
expandable_segments:Trueand the LMCache KV connector when using engine-driven transfer mode.