fix(glm5next): align split cache blocks to retention - #575
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Team Run ID: 📒 Files selected for processing (3)
🚧 Files skipped from review as they are similar to previous changes (1)
Included review availability: Your plan provides up to 1 included review per hour; 0 remain after this review. 📝 WalkthroughWalkthroughChangesGLM-5.3 split-cache alignment
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🔵 Low · up to The PR changes GLM-5.3 cache allocation geometry and may affect startup across distributed GPU deployments; real multi-rank and LMCache qualification is still pending. One added regression test also appears able to fail before checking its intended condition, so the change is mergeable with explicit owner awareness and follow-up. Sequence Diagram(s)sequenceDiagram
participant Platform
participant CacheConfig
participant SchedulerConfig
Platform->>CacheConfig: read retention interval and DCP size
Platform->>SchedulerConfig: read scheduler token budget when retention is unset or zero
Platform->>Platform: resolve target and Mamba block sizes
Platform->>CacheConfig: assign resolved cache geometry
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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Actionable comments posted: 1
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Inline comments:
In `@tests/v1/attention/test_b12x_sparse_mla_api.py`:
- Line 217: Import Platform at module scope in
tests/v1/attention/test_b12x_sparse_mla_api.py so the Platform calls at lines
217, 261, and 284 resolve correctly; no direct changes are needed at those call
sites.
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ℹ️ Review info
⚙️ Run configuration
Configuration used: Organization UI
Review profile: CHILL
Plan: Team
Run ID: 3dff503b-d148-437c-886d-939e944d8419
📒 Files selected for processing (3)
tests/v1/attention/test_b12x_sparse_mla_api.pytests/v1/core/test_kv_cache_utils.pyvllm/platforms/interface.py
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263c47c
into
local-inference-lab:dev/jovian-judgement
Summary
retention interval, scheduler capacity, and DCP degree.
The branch is current with
dev/jovian-judgementand includes the missingPlatformtest import identified in review.Validation
fallback to 512-token local pages.
on TP4 for DCP1, DCP2, and DCP4 with
fp8_ds_mlaandnvfp4_ds_mla.[1024,1024,1024,1024,4096]and exposed 12,518,300usable KV tokens at GMU 0.93. A field run of the same geometry reported
12,636,027 tokens.
an eight-GPU host was unavailable.
Integration
Apply after vLLM PR #549. Use the matching B12X PR #266 and pin the tested
LMCache integration source documented in the r15/r16 integration handbook.
AI assistance
OpenAI Codex assisted with implementation review, test construction, and
integration validation. The submitter reviewed the resulting changes and
evidence.