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build(vllm): upgrade vLLM to v0.30.0 - #15182
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Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
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Use the configured KV-event block size in state-agent descriptors while preserving the physical cache block size. Exercise real vLLM DCP cache events through Dynamo ingestion and prefix indexing on CPU, without loading a model. Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
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Navigate logical layers of code changes, visualize relationships, and explore their blast radius. WalkthroughThe pull request updates vLLM pins to 0.30.0 and adapts KV-cache metadata and event handling, Omni stage configuration and NIXL connectors, and GPU memory service sleep-mode backend selection. ChangesvLLM 0.30 Integration
Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🟡 Moderate · up to With the vLLM 0.30 upgrade, the new typed Omni stage conversion drops the flag that tells GLM-Image diffusion to use the input image. Image-to-image requests would then ignore their source image. A new test module can also break test collection in environments without vLLM or torch installed. Preserve the flag, and guard the test imports before merging. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 43.24% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 37 functions across 17 files. (4 skipped: 4 unsupported.)
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Actionable comments posted: 2
- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
In `@components/src/dynamo/vllm/omni/utils.py`:
- Line 68: Add `requires_multimodal_data` to the stage configuration projection
in `utils.py` so `OmniStageWorker` preserves the typed stage’s value; add a test
verifying the GLM-Image conversion retains `True` for image-to-image requests
handled by `ar2diffusion`.
In `@components/src/dynamo/vllm/tests/test_vllm_dcp_kv_events.py`:
- Around line 12-14: Guard the module-level optional imports in
test_vllm_dcp_kv_events with pytest.importorskip so collection skips cleanly
when torch or vLLM is unavailable; ensure the cache_info import occurs only
after the vLLM availability check. Keep required imports unchanged.
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📒 Files selected for processing (21)
components/src/dynamo/vllm/args.pycomponents/src/dynamo/vllm/kv_cache_metadata_compat.pycomponents/src/dynamo/vllm/omni/connectors/nixl_connector.pycomponents/src/dynamo/vllm/omni/stage_worker.pycomponents/src/dynamo/vllm/omni/utils.pycomponents/src/dynamo/vllm/state_agent.pycomponents/src/dynamo/vllm/tests/omni/test_audio_handler.pycomponents/src/dynamo/vllm/tests/omni/test_omni_nixl_connector.pycomponents/src/dynamo/vllm/tests/omni/test_omni_stage_worker.pycomponents/src/dynamo/vllm/tests/test_state_agent.pycomponents/src/dynamo/vllm/tests/test_vllm_dcp_kv_events.pycomponents/src/dynamo/vllm/tests/test_vllm_kv_cache_metadata_compat.pycomponents/src/dynamo/vllm/tests/test_vllm_kv_events_api.pycomponents/src/dynamo/vllm/tests/test_vllm_renderer_api.pycontainer/context.yamldocs/fern/components/releases.data.tsdocs/fern/pages/reference/general/compatibility.mdxdocs/fern/pages/reference/general/releases-machine-readable.mdxlib/gpu_memory_service/tests/test_vllm_worker.pylib/gpu_memory_service/v1/integrations/vllm/worker.pypyproject.toml
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Previously reported defects still present:
- Original discussion: The typed Omni stage projection in
components/src/dynamo/vllm/omni/utils.pystill omitsrequires_multimodal_data, soOmniStageWorkercontinues to default converted GLM-Image stages toFalseand image-to-image processors can drop the source image. - Original discussion: The typed-stage projection still omits
requires_multimodal_data, whileOmniStageWorkerdefaults the missing attribute toFalse. Typed image-to-image diffusion stages therefore do not pass their source image to processors that require multimodal data. - Original discussion: Verified still present:
_dynamo_stage_configomitsrequires_multimodal_data, whileOmniStageWorkerdefaults a missing value toFalse. Typed image-to-image diffusion stages that require multimodal input therefore lose their source image. - Original discussion: Verified:
_dynamo_stage_configdrops the typed stage'srequires_multimodal_data, whileOmniStageWorkerdefaults the missing value toFalseand passes it to custom stage processors. The pinned vLLM-Omni typed configuration exposes this field; GLM-Image image-to-image processing can therefore omit its source image. - Original discussion:
components/src/dynamo/vllm/tests/test_vllm_dcp_kv_events.pystill imports optionaltorch,zmq, vLLM-dependent Dynamo modules, and vLLM-backed cache code at module scope before anypytest.importorskip, so collection can fail in environments without those extras before marker-based deselection or skipping can occur.
Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
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Pushed the review fixes in 86c9b7b and replied in each inline thread. Both defects reported by CodeRabbit and dynamo-review-agent are addressed. The same commit fixes the failing Gemma UUID cache test: vLLM 0.30's embedding-only audio/video budgets enlarged the encoder cache, so the test no longer evicted the first image. The test profile now bounds those budgets to restore eviction. Its three requests and original cache-hit assertion are unchanged. Local validation passed: 96 focused CPU test executions across the affected Omni, renderer, metadata, and DCP checks; the existing Gemma UUID regression on one RTX 6000 Ada GPU (3m54s); and repository hooks. The GPU run used vLLM 0.30.0 / Omni 0.30.0rc1 with the public ai-dynamo-runtime 1.6.0.dev20260923 wheel and this checkout's Python source, rather than the exact CI-built runtime. These results do not replace CI on the new head. |
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No blocking defects found at 86c9b7b445. I read all 22 changed files and ran the checks in the details below.
Verified by running code: the new Gemma profile arguments bring the vLLM 0.30 encoder cache back to 280 tokens, and mm_agg_gemma4-e2b-it_uuid_passthrough passed on this head in vllm-runtime / Test cuda13.0, amd64. The vLLM unit selection passes on the 0.29 and 0.30 stacks, and each new or changed test fails when I revert the fix that it covers.
[P3] XPU also stays on vLLM 0.29.0 and Omni v0.29.0rc1 (container/context.yaml), but the description names only CPU. The title says "prepare", but this PR moves CUDA to 0.30.0 now. Please update both. XPU CI did not run, because it needs the xpu label.
Separate issue, not from this PR: with Omni 0.29 (XPU and CPU images), OmniStageWorker still reads requires_multimodal_data as False for GLM-Image, because Omni 0.29 keeps the flag under runtime. The base branch does the same.
Measurements, with the environment and the controls.
Environment: x86_64, no GPU work. vLLM 0.29.0 with Omni 0.29.0rc1, and vLLM 0.30.0 with Omni 0.30.0rc1, from PyPI. transformers 5.14.1 and tokenizers 0.22.2, as in container/context.yaml. Omni installed with the protected-package constraints of install_vllm_omni.sh. dynamo._core built from this branch.
Encoder cache for the Gemma 4 UUID profile with the ec_both embedding cache that configure_multimodal_embedding_cache sets (MultiModalBudget after create_engine_config):
| vLLM | profile arguments | enable_mm_embeds |
encoder cache (tokens) |
|---|---|---|---|
| 0.29.0 | 10fc67a2b5 |
False | 280 |
| 0.29.0 | 86c9b7b445 |
False | 280 |
| 0.30.0 | 10fc67a2b5 |
True | 2496 |
| 0.30.0 | 86c9b7b445 |
True | 280 |
Controls: without the EC configuration, both versions give 280. With --enable-mm-embeds, both versions give 2496. The failed CI run at 10fc67a2b5 logged the same 2496 budget.
pytest -m "pre_merge and vllm and gpu_0 and not e2e" components/src/dynamo/vllm/tests lib/gpu_memory_service/tests:
| stack | base 5c0a79a2ad |
86c9b7b445 |
|---|---|---|
| vLLM 0.29.0, Omni 0.29.0rc1 | 1726 passed, 7 skipped, 1 failed | 1738 passed, 11 skipped, 1 failed |
| vLLM 0.30.0, Omni 0.30.0rc1 | 1724 passed, 7 skipped, 3 failed | 1742 passed, 7 skipped, 1 failed |
The failure in every cell is test_vllm_runtime_includes_working_frontend_video_decoder, because my _core build has no video decoder. The two other base failures on 0.30 are the KV-event and renderer contract tests that this PR updates. The four new skips on 0.29 are the typed-Omni and 0.30-only cases.
Reverted fixes on vLLM 0.30, each on a fresh copy of 86c9b7b445:
| reverted fix | new or changed tests |
|---|---|
metadata reports spec.block_size |
2 failed |
state agent uses cache_config.block_size |
1 failed |
| GMS without the accessor shim | 1 failed (passes on 0.29) |
| no typed-stage conversion | 3 failed |
connector registered as NixlConnector |
2 failed |
projection without requires_multimodal_data |
1 failed, KeyError: 'pil_image' |
OmniStageWorker._requires_mm for GLM-Image stage 1 (ar2diffusion):
| tree | Omni | value |
|---|---|---|
base 5c0a79a2ad |
0.29.0rc1 | False |
86c9b7b445 |
0.29.0rc1 | False |
86c9b7b445 |
0.30.0rc1 | True |
Omni 0.29 returns the stage as a DictConfig with runtime.requires_multimodal_data=True, and the worker reads only the top-level key. Control: a stage with a top-level True reads True.
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I did not approve this PR yet. Here is why, since my review above left it out.
The head does not merge cleanly with current main in one place. main removed from packaging.version import Version from components/src/dynamo/vllm/tests/test_vllm_renderer_api.py in #14702, and this PR still uses Version at line 413 of that file. So pre-commit fails on the merge of this head with main: ruff reports F821 Undefined name 'Version' at line 408 of the merged file, in Pre Merge run 35920128504. When you merge main, please keep that import.
If that merge changes only the import and the vLLM GPU job completes, I will approve at the next head. On this head, that job lost its runner before the multimodal router test and the GPU sequential stage ran.
Open items from my review above:
- [P3] Please update the title and the description. This PR moves the CUDA images to vLLM 0.30.0 now, and XPU stays on vLLM 0.29.0 as well as CPU.
- A separate issue, not caused by this PR: with Omni 0.29,
OmniStageWorkerreadsrequires_multimodal_dataas False for GLM-Image.
…rge-main Signed-off-by: Krishnan Prashanth <kprashanth@nvidia.com> # Conflicts: # docs/fern/components/releases.data.ts # docs/fern/pages/reference/general/compatibility.mdx # docs/fern/pages/reference/general/releases-machine-readable.mdx
Signed-off-by: Krishnan Prashanth <kprashanth@nvidia.com>
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I approve this PR at 544ef920a0.
My last review made the vLLM GPU job a condition for approval. That job did not run on this head. The vLLM image build stopped at its 60-minute limit, so every vLLM test job was skipped. I approve on the review findings and on my own runs in the details below. For the GPU paths, the main evidence is still these jobs, and none of them ran with an image of this head: vllm-runtime / Test cuda13.0, amd64, vllm-runtime / 2-GPU Test cuda13.0, amd64, and vllm Deploy Test.
The restored Version import fixes the F821 that I reported, and it follows my earlier ask. The merge in 9beb18ae7 matches a rebuild from its two parents, except for the three docs files that conflicted.
Open item: [P3] The title and the description are still out of date. This PR moves CUDA to vLLM 0.30.0 now, and XPU stays on vLLM 0.29.0 as well as CPU (container/context.yaml:106). Please update both.
What I ran on this head, with controls.
Ruff hook of .pre-commit-config.yaml (ruff-pre-commit v0.5.2), pre-commit run ruff --all-files:
| tree | result |
|---|---|
9beb18ae7, the merge before the fix |
failed, F821 Undefined name `Version` at line 408 |
544ef920a0 |
passed |
544ef920a0 merged with main at 13cbb76b5 |
passed |
main at 13cbb76b5 |
passed |
All 35 hooks of pre-commit run --all-files pass on the merge with 13cbb76b5. Pre Merge run 36299828567 passed on this head merged with 81a9871abd.
If Omni replaced EngineCoreRequest, the renderer test uses Version. Otherwise it does not. To make the Omni patch active, I collected all of components/src/dynamo/vllm/tests, as CI does, and selected test_engine_core_struct_contract. Stack: vLLM 0.30.0 and Omni 0.30.0rc1.
test_vllm_renderer_api.py |
result |
|---|---|
as in 544ef920a0 |
1 passed |
| without the import | 1 failed, NameError: name 'Version' is not defined at line 408 |
Merge audit: git merge-tree --write-tree 86c9b7b445 81a9871abd differs from the tree of 9beb18ae7 only in releases.data.ts, compatibility.mdx, and releases-machine-readable.mdx. Each resolution keeps TensorRT-LLM 1.3.0rc27 from main and vLLM 0.30.0 from this PR. gen_llms_tables.py --check passes on 9beb18ae7, on this head, and on the merge with 13cbb76b5. Control: a stale vLLM value in compatibility.mdx fails the check.
pytest -n 8 -m "pre_merge and vllm and gpu_0 and not e2e" over the whole tree:
| tree | stack | passed | failed | skipped | errors |
|---|---|---|---|---|---|
main at 13cbb76b5 |
vLLM 0.29.0, Omni 0.29.0rc1 | 1967 | 2 | 11 | 24 |
this head merged with 13cbb76b5 |
vLLM 0.30.0, Omni 0.30.0rc1 | 1983 | 2 | 11 | 24 |
The two cells have the same failures and errors. The 2 failures are codec tests that read the runtime image. The 24 errors are planner modules whose dependencies I did not install. The two vLLM test files that main added since my last review pass on 0.30.0: test_vllm_handoff_consumer.py (29 passed) and test_vllm_external_handoff.py (21 passed). The gpu_1 tests in components/src/dynamo/vllm/tests and lib/gpu_memory_service/tests also pass on one GPU: 21 passed on 0.30.0 and 20 passed on 0.29.0, with 1 skip each.
Every vllm and vllm_omni import outside the tests resolves on vLLM 0.30.0, except the same 9 that also fail on main with vLLM 0.29.0. All 9 are guarded fallbacks for older vLLM releases. The probe read 246 import statements in this head merged with 13cbb76b5. Control: a bogus name fails.
ModelExpress 0.6.0 came in from main. The plugin-load check of vllm_runtime.Dockerfile passes with it on vLLM 0.30.0.
CI on this head: the image build (job 108565369532) pushed the image at 07:15 UTC. The Compliance extract step then ran past the 60-minute job limit, and GitHub cancelled the job. The vLLM test jobs were skipped. The deploy tests ran with an empty image tag. The admission webhook rejected agg and agg_router, and the other two skipped their tests. On the two heads before this one, the same build took 11 minutes. I found no defect in this PR behind this failure.
Environment: GPU box, x86_64 host. vLLM and Omni come from PyPI, with transformers 5.14.1 and tokenizers 0.22.2 as in container/context.yaml. Omni is installed with the protected-package constraints of install_vllm_omni.sh. dynamo._core is built from 13cbb76b5, because this PR changes no Rust.
JulienDarve
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alec-flowers
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…eport The marker report stubbed vllm.v1.core.kv_cache_manager so that test_vllm_instrumented_scheduler.py could import KVCacheManager at module level. The vLLM 0.30.0 tests added by #15182 use pytest.importorskip("vllm.v1.core.kv_cache_manager") as their probe for a real vLLM install. With the stub in place that probe passed during the report's stubbed collection, and test_vllm_kv_cache_metadata_compat.py then failed collection on vllm.v1.engine.core, failing pre-commit on the merge with main. Import KVCacheManager inside the realseed_prefix_cache fixture, its only user, and drop the stub, so both new tests are skipped by the report as they are on main. Collection counts for the scheduler, worker-factory and benchmark-points tests are unchanged (326, 156, 19). Signed-off-by: Yiming Liu <yimingl@nvidia.com> Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Summary
Upgrade the CUDA runtime pin and Python extra to vLLM 0.30.0 and regenerate the version documentation.
vLLM 0.30.0 removes the cache-metadata getter used by Dynamo's legacy backend. Restore it with a guarded Dynamo plugin that reads initialized cache managers, preserving effective block sizes for hybrid attention and decode context parallelism. Activate it through the legacy launcher and preserve existing native getters.
Adapt GMS to vLLM's sleep-backend property while retaining 0.29 compatibility, and update the KV-event contract test for the optional session field.
Pair CUDA vLLM 0.30.0 with the published vLLM-Omni 0.30.0rc1 package. Adapt typed stage configurations and single-stage YAML serialization, preserve model-stage detection, and keep Dynamo’s NIXL connector compatible with named and inline configurations. CPU and XPU retain vLLM 0.29.0 with vLLM-Omni 0.29.0rc1.
Upstream vLLM 0.30.0 compatibility: vllm-project/vllm-omni#7820 (merged).
Validation
uv pip checkalso exists in the unmodified base.Full Dynamo runtime-image and HTTP end-to-end validation remain pending in CI. Local audio validation exercised Dynamo’s handler and real Omni engine without the frontend. Live Ray actors and multi-GPU DCP were not exercised.
Related Issues
Linear: version-bump ticket
Implemented with AI assistance.
Summary by CodeRabbit
New Features
Documentation