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test(sglang): exercise NIXL in embedding cache E/PD test - #14795

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spolisetty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug
Sep 16, 2026
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rmccorm4 merged 12 commits into
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spolisetty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug

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@pskiran1

@pskiran1 pskiran1 commented Sep 14, 2026 •

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Overview:

Update the existing SGLang cache-enabled E/PD video test to use nixl-read instead of the local embedding-transfer mode. This makes the test exercise the real NIXL embedding-transfer and remote-metadata path inside the SGLang runtime container, providing meaningful regression coverage for #12558.

Details:

The existing video_e_pd_qwen scenario:

  • Launches separate encode and PD workers on one GPU.
  • Enables the multimodal embedding cache.
  • Sends an initial cache-miss video request.
  • Repeats the request and verifies an embedding-cache hit.

Previously, the test used the local transfer mode and therefore bypassed NIXL. Switching it to nixl-read ensures both requests exercise the real NIXL sender, receiver, and remote-agent metadata exchange.

Current GitHub GPU CI runs this test on x86. It does not reproduce the ARM-specific GB200 environment today, but the same test will provide that coverage when ARM GPU CI becomes available.

Validation:

  • Validated using a locally built SGLang runtime/test container on an A100 GPU:
pytest -p no:codeblocks tests/serve/test_sglang.py -v -k "video_e_pd_qwen and not nvdec"

tests/serve/test_sglang.py::test_sglang_deployment[video_e_pd_qwen-4] PASSED                                                                                             [100%]
 1 passed, 29 deselected in 55.23s 
  • Validated the targeted video_e_pd_qwen SGLang test using the PR-built multi-architecture runtime on an ARM64 NVIDIA GB200. The NIXL-read E/PD video path completed successfully, including the embedding-cache-hit and NIXL-agent-initialization assertions. 1 passed, 29 deselected in 73.28s.

Related Issues

🔗 This PR is linked to an issue:

  • Closes OPS-8449

Summary by CodeRabbit

  • Tests
    • Updated the video_e_pd_qwen test to use the nixl-read embedding transfer mode instead of local.

Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
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@github-actions github-actions Bot added the test label Sep 14, 2026
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pskiran1 marked this pull request as ready for review September 14, 2026 14:06
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/ok to test e1f46c8

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Review Change StackReview Change Stack

Walkthrough

The video_e_pd_qwen test now sets DYN_SGL_EMBEDDING_TRANSFER_MODE to nixl-write instead of local.

Changes

SGLang transfer mode coverage

Layer / File(s) Summary
Video embedding transfer configuration
tests/serve/test_sglang.py
The video_e_pd_qwen test now uses NIXL-write embedding transfer.

Priority: ⬇️ Low

Estimated code review effort: 1 (Trivial) | ~2 minutes

Merge Risk: 🔵 Low · up to 59210

The video E/PD test may not run reliably or provide valid NIXL coverage, while a separate localized test-helper concern remains unresolved. Both issues are low-scope but should be addressed before merge.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 78.26% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 23 functions across 2 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
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.
Title check ✅ Passed The title clearly identifies the main change: updating the SGLang embedding-cache E/PD test to exercise NIXL.
Description check ✅ Passed The description explains the change, test behavior, validation results, and related issue. It omits the requested “Where should the reviewer start?” section, but the description is otherwise complete …
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Actionable comments posted: 1

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Inline comments:
In `@tests/dependencies/test_sglang_nixl_ucx_layout.py`:
- Line 50: Replace runtime-validation assertions in _load_discovery_module and
the installer partitioning flow with explicit failures. Validate the installer
marker before partition() returns helpers, and validate spec and spec.loader
before loading the discovery module; raise a clear exception when either
condition is missing so behavior is preserved under python -O.

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🤖 Completed: Fix pre-merge checks in PR #14795 — View commit 338c2d2

pskiran1 and others added 2 commits September 14, 2026 19:47
Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
@pskiran1
pskiran1 requested a review from rmccorm4 September 15, 2026 05:29
Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
…on-coverage-for-nvbug' of https://github.com/ai-dynamo/dynamo into spolisetty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug
Comment thread tests/dependencies/test_sglang_nixl_ucx_layout.py Outdated
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pskiran1 marked this pull request as draft September 15, 2026 08:45
…setty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug
Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
@pskiran1 pskiran1 changed the title test(sglang): validate private UCX layout for NIXL transfers test(sglang): exercise NIXL in embedding cache E/PD test Sep 15, 2026
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pskiran1 marked this pull request as ready for review September 15, 2026 17:45
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/ok to test 59210e4

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@coderabbitai full review

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✅ Action performed

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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
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Inline comments:
In `@tests/serve/test_sglang.py`:
- Line 851: Update the DYN_SGL_EMBEDDING_TRANSFER_MODE override in the E/PD test
to use nixl-read, matching multimodal_epd.sh and the launcher’s compatible
NIXL/UCX setup; do not retain nixl-write unless the backend configuration is
also changed accordingly.

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Reviewed at 59210e4c. Verified by execution rather than by reading: RTX 6000 Ada, AMD64, the repo's …-sglang-runtime-test image (CUDA 13.0), this PR's worktree mounted at /workspace, eight runs of tests/serve/test_sglang.py -k "video_e_pd_qwen and not nvdec" across three transfer modes.

The change does what it claims. In nixl-write both launcher workers bring up a real NIXL agent — sender_… in the encode worker, receiver_… in the PD worker — and the existing cache-hit assertion still holds. Two runs exactly as merged: 49.2 s and 46.9 s, against 45.5 s for the local tree it replaces. No startup or transfer failure in any nixl-write run.

Two points, both P2, neither blocking:

  • a new thread on line 851 — the mode is exercised but not pinned; the test passes identically on local, nixl-write and nixl-read.
  • a reply on the existing line-851 thread — I agree with nixl-read but for different reasons than the ones given there, and the breakage premise did not reproduce.

P3, description only: the Related Issues section still carries both template branches — Closes OPS-8449 and a ticked Confirmed — no related issue — along with the "delete the other" instruction comment. Worth trimming to whichever applies.

CI triage, not a finding: sglang-runtime / Test cuda13.0, amd64 is red on this test's decord2 install failing inside the runner, ~2 s in, before any worker starts — unrelated to the diff, and decord2>=3.4.0,<4 installs cleanly from that same image on my box. Recording it only because of what it implies: no CI run has yet exercised this change. The green sglang-runtime job on e1f46c80 predates the one-line edit, which landed later.

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Approving at 59210e4c. The change is correct and does what the description says — I confirmed it by execution rather than by reading, on an RTX 6000 Ada in the repo's …-sglang-runtime-test image (AMD64, CUDA 13.0) with this PR's worktree mounted at /workspace:

  • nixl-write brings up both NIXL agents through the launcher — sender_… in the encode worker, receiver_… in the PD worker — where the local tree it replaces brings up none. Two runs exactly as merged: PASSED at 49.2 s and 46.9 s, versus 45.5 s for local. No startup or transfer failure in any run.
  • The cache-hit assertion still holds on the second request in every mode.
  • The red sglang-runtime / Test cuda13.0, amd64 is this test's decord2 install failing inside the runner ~2 s in, before any worker starts — unrelated to the diff; that spec installs cleanly from the same image on my box. It does mean CI has not itself exercised this change yet.

Three items left open, all non-blocking and all the author's call:

  • P2 (new thread, line 851) — the mode is exercised but not pinned: the test passes identically on local, nixl-write and nixl-read. One expected_log entry closes it; I mutation-tested the patch in both directions.
  • P2 (reply on the existing line-851 thread) — nixl-read is the better mode here, though not for the reason originally given: the breakage premise did not reproduce, but multimodal_epd.sh forces nixl-read for any NIXL backend, so nixl-write pins a mode no deployment of this launcher runs, and it costs a measured 8.06 GiB of resident host memory at PD-worker start. I verified the alternative passes before recommending it.
  • P3 — the description's Related Issues section still carries both template branches plus the "delete the other" instruction comment.

Deliberately not raised: video_e_pd_qwen_nvdec and multimodal_e_pd_fd_qwen stay on local, which their own comments justify, and neither is in scope here.

Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
…on-coverage-for-nvbug' of https://github.com/ai-dynamo/dynamo into spolisetty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug
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Thanks, @dmitry-tokarev-nv. I have switched the test to nixl-read to match the mode used by multimodal_epd.sh and added Initialized NIXL agent to the expected logs, ensuring the test cannot silently pass in local mode. I also updated the description to accurately reflect the related Issues section. I will provide the new test results soon.

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/ok to test 9ec47a7

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Validated the targeted video_e_pd_qwen SGLang test using the PR-built multi-architecture runtime on an ARM64 NVIDIA GB200. The NIXL-read E/PD video path completed successfully, including the embedding-cache-hit and NIXL-agent-initialization assertions.
I have updated the validation section in the PR description with the latest test results.

@rmccorm4
rmccorm4 merged commit adeaae1 into main Sep 16, 2026
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rmccorm4 deleted the spolisetty/ops-8449-unit-test-sglangmultimodal-regression-coverage-for-nvbug branch September 16, 2026 17:51
aung-san-i added a commit to aung-san-i/dynamo that referenced this pull request Sep 28, 2026
* feat: KV DC Relay file based source mode (ai-dynamo#14807)

Add live-reloaded file sources for KV DC Relay namespace selection and expose readiness and source revisions through /engine/state.

Preserve applied membership on invalid updates, coalesce discovery refreshes, and isolate native integration tests in forked processes.

Signed-off-by: Nikita Sukharev <kaonael@gmail.com>

* feat(sglang): expose cross-encoder reranking through /v1/rerank (ai-dynamo#14032)

Signed-off-by: xianlubird <xianlubird@gmail.com>

* fix(profiler): explain inaccessible model paths during trust checks (ai-dynamo#14860)

Signed-off-by: hongkuanz <hongkuanz@nvidia.com>

* fix(sglang): sync discovery from native pause state (ai-dynamo#13951)

Signed-off-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Co-authored-by: Zero Rains <57100978+zeroRains@users.noreply.github.com>

* feat(recipes): add Solar Open2 250B NVFP4 aggregated and disaggregated recipes for B200 (ai-dynamo#14376)

Signed-off-by: Sandhya Rani Narravula <snarravula@nvidia.com>

* refactor(agents): session_id reader from AgentContext + forward to vLLM (ai-dynamo#14428)

Signed-off-by: Karen Chung <karenc@nvidia.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* fix(discovery): allow served aliases for the same model source (ai-dynamo#14857)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* fix(router): reject unknown explicit worker targets (ai-dynamo#14858)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* fix(xpu): stabilize XPU test workers (ai-dynamo#14539)

Signed-off-by: Wenxin Zhang <wenxin.zhang@intel.com>
Signed-off-by: VincyZhang <wenxin.zhang@intel.com>

* feat(mm-routing): add Nemotron 3 Nano Omni video routing (ai-dynamo#14653)

Signed-off-by: krishung5 <krish@nvidia.com>

* fix(sglang): validate diffusion input_reference and bound media fetches (ai-dynamo#14435)

The sglang image-diffusion and video-generation handlers passed the
client-supplied input_reference through to the generator's image_path after only
a non-empty check. Validate it first, and for remote references materialize it
locally before the generator sees it, so the generator is always handed a
trusted local path. This brings the sglang diffusion path in line with the
vLLM/omni and trtllm backends, which already validate the same field.

Behavior change: local I2I/I2V references now require DYN_MM_LOCAL_PATH to be
set to the allowed directory; previously any path was accepted.

common/http:

- validate_media_reference() returns a plain filesystem path for local
  references; local_media_reference() is an async context manager that fetches a
  remote one through fetch_bytes(policy=...), which revalidates every redirect
  hop, into a temp file removed on exit. data: is rejected -- a URI is not a path.
- fetch_bytes() gained max_bytes, streaming through collect_capped at an explicit
  read granularity so the cap is an allocation bound and not only a rejection: a
  128 MiB-decoded gzip body against the 64 MiB cap peaks at 68,032,217 bytes
  rather than the whole decompressed body. Content-Length is caller-controlled
  and absent when chunked, and aiohttp's read(n) returns at most n bytes, so
  neither a header check nor a single capped read suffices. Defaults to None,
  leaving existing callers unchanged.
- DYN_MM_MAX_FILE_SIZE_MB makes that cap operator-tunable, in megabytes, as the
  SGLang arg it replaces was. Read per call; empty, unparseable or non-positive
  falls back to 64 with a warning, so a malformed value neither takes the worker
  down nor reads as unlimited.
- Messages built from caller input are bounded via describe_media_source, moved
  from multimodal/media_source.py (it pulls in torch) into url_validator.py and
  re-exported from its old home; a no-op below 120 characters.
- HttpStatusError bounds its .message attribute, not only the rendered string:
  errors.rs::extract_http_like_error reads .status and .message off this class by
  name and forwards .message on a 4xx without calling str(). Backend exception
  text is bounded head-and-tail, since aiohttp renders the host before the errno.
- validate_local_path uses exc.strerror rather than the raw OSError, whose text
  repeats the filename, and now catches the ValueError that Path.resolve() raises
  on an embedded NUL so callers keep their 4xx-vs-5xx decision.

Rebased onto ai-dynamo#14563 (single aiohttp backend); the httpx-side half of the
max_bytes plumbing went with that backend.

Signed-off-by: nnshah1 <neelays@nvidia.com>
Signed-off-by: Dmitry Tokarev <dtokarev@nvidia.com>
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

* chore(deps): upgrade fastokens to 0.3.2 (ai-dynamo#14798)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* fix(vllm): ship codec-free OpenCV for image inputs (ai-dynamo#14361)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Co-authored-by: Anant Sharma <anants@nvidia.com>
Co-authored-by: yunzhoul-nv <232973175+yunzhoul-nv@users.noreply.github.com>

* docs: refresh community events

Automated refresh from the public Dynamo Google Calendar.

Generated by .github/workflows/community-events-refresh.yml.

Signed-off-by: dynamo-ops <170655669+dynamo-ops@users.noreply.github.com>

* ci: refresh the compliance baseline in auto-upgrade pipeline (ai-dynamo#14206)

Signed-off-by: Anant Sharma <anants@nvidia.com>

* feat(triton): honor KServe classification on tensor outputs (ai-dynamo#14783)

Signed-off-by: Yingge He <yinggeh@nvidia.com>

* docs(rl): stop the verl guide sending readers to a vLLM version it cannot run on (ai-dynamo#14571)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>

* feat(mocker): publish native KV events from the vLLM gRPC server (ai-dynamo#14737)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* fix(kv-router): release unowned radix branches after eviction (ai-dynamo#14878)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* fix: show correct backend versions in the install selectors (ai-dynamo#13599)

Signed-off-by: Anant Sharma <anants@nvidia.com>

* build(vllm): prepare v0.29.0 bump (ai-dynamo#14543)

Signed-off-by: Julien Darve <jdarve@NVIDIA.com>

* ci(xpu): validation PR for the re-applied XPU workflows and Dockerfile

Throwaway PR to prove the CI merged in #22 actually runs end to end on XPU
hardware. Adds only a comment to container/templates/vllm_runtime.Dockerfile,
which matches the `vllm` path filter (container/templates/vllm_*) and so makes
changed-files set vllm=true, which is what gates build-xpu and the
heterog-test-px-dn / heterog-test-pn-dx jobs.

What this exercises:
  - .github/workflows/pr-xpu.yaml            (push to pull-request/[0-9]+, needs the xpu label)
  - .github/workflows/pr-xpu-heterogeneous.yaml (push; its guard deliberately skips the label gate)
  - .github/workflows/epd-test-template.yml  (workflow_call, from the heterog jobs)
  - .github/scripts/test-filters.js          (the brace fix from #22)
  - container/templates/vllm_runtime.Dockerfile rendered and built for device=xpu

Not exercised: .github/workflows/xpu-heterogeneous-dispatch.yaml is
workflow_dispatch only and has to be run by hand from the Actions tab.

The marker comment must be removed before this branch is ever merged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat(triton): Update Triton Base Image to 26.08 (ai-dynamo#14854)

Signed-off-by: J Wyman <jwyman@nvidia.com>
Co-authored-by: Rini Gupta <rinig@nvidia.com>

* fix(operator): normalize equivalent worker hash inputs (ai-dynamo#14721)

Signed-off-by: bzsuni <bingzhe.sun@daocloud.io>

* test(sglang): exercise NIXL in embedding cache E/PD test (ai-dynamo#14795)

Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>

* fix(sglang): stop the elastic-EP scale-up worker crash-looping at startup (ai-dynamo#14568)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Co-authored-by: yunzhoul-nv <232973175+yunzhoul-nv@users.noreply.github.com>

* fix(responses): honor tool_choice when parsing tool calls from text (ai-dynamo#14843)

Signed-off-by: xianlubird <xianlubird@gmail.com>

* ci: accept trusted full-CI request comments (ai-dynamo#14868)

Signed-off-by: Matej Kosec <mkosec@nvidia.com>

* docs: clarify EPP mode boundary and single-replica Dynamo mode fixes [DYN-4310] (ai-dynamo#14756)

Signed-off-by: Anna Tchernych <atchernych@nvidia.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* ci(docs): move the generated-tables determinism gate out of link checking (ai-dynamo#14135)

Signed-off-by: Dan Gil <dagil@nvidia.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* ci(docs): generate the Kubernetes API reference at publish time (ai-dynamo#14122)

Signed-off-by: Dan Gil <dagil@nvidia.com>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>

* fix(operator): discover pull secrets for init containers (ai-dynamo#14922)

Signed-off-by: bojiang-li <327132355+bojiang-li@users.noreply.github.com>

* fix(sglang): stop an unusable mooncake backend crashing workers after model load (ai-dynamo#14461)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: glamr-agent <glamr-agent@users.noreply.github.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>

* fix(sglang): emit prefill handoff before completion in sidecar (ai-dynamo#14260)

Signed-off-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: Connor Carpenter <connorc@nvidia.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

* test(trtllm): enable fault tolerance coverage (ai-dynamo#14609)

Signed-off-by: tanmayv25 <tanmay2592@gmail.com>

* fix(frontend): evict async tokenizer executors when the tokenizer is retired (ai-dynamo#13368)

Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>

* fix(llm): report KServe datatypes by their wire names, not protobuf variants (ai-dynamo#14957)

`ModelMetadata` reported each Triton-registered tensor's `datatype` using
`inference::DataType::as_str_name()`, which returns the `model_config.proto`
variant name (`TYPE_FP32`, `TYPE_STRING`, ...) instead of the KServe v2 wire
names (`FP32`, `BYTES`, ...). Every datatype was wrong, so spec-conforming
clients cannot parse any tensor the RPC describes. Adds `oip_name()` next to
`tensor::DataType::to_kserve` covering all fifteen proto variants (incl. FP16
and BF16) and mapping `TYPE_STRING → BYTES`.

Original PR by @ayaangazali: ai-dynamo#14770. Reissued under a signed commit to
unblock the copy-pr-bot signature gate; diff is byte-identical.

Closes ai-dynamo#14520.

Signed-off-by: ayaangazali <ayaangazali@users.noreply.github.com>
Signed-off-by: ayaangazali <ayaangazali.work@gmail.com>
Signed-off-by: Vinya Kestur <vinyak@nvidia.com>
Co-authored-by: ayaangazali <ayaangazali.work@gmail.com>

* docs(mm-routing): document video KV routing (ai-dynamo#14958)

Signed-off-by: krishung5 <krish@nvidia.com>

* fix(sidecar): honor worker namespace suffix (ai-dynamo#14955)

Signed-off-by: Biswa Panda <biswa.panda@gmail.com>

* fix(bindings): drain bridge tasks before interpreter finalization (ai-dynamo#14813)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Co-authored-by: Tushar Sharma <tusharma@nvidia.com>

* fix(discovery): stop a Qwen3-VL worker from serving video with another worker's contract (ai-dynamo#14624)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>

* fix(gms): honor configured timeout during initial weights admission (ai-dynamo#14877)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: Schwinn Saereesitthipitak <schwinns@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Co-authored-by: Schwinn Saereesitthipitak <schwinns@nvidia.com>

* feat(kv-router): add construction-time indexer delegates (ai-dynamo#14945)

* fix(sglang): support min_tokens on tokenizer-free decode workers (ai-dynamo#14276)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Signed-off-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: MatejKosec <mkosec@nvidia.com>

* feat(router): add SessionPrefixIndexer for session-block lineage (ai-dynamo#13807)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: Karen Chung <karenc@nvidia.com>
Signed-off-by: Matej Kosec <mkosec@nvidia.com>
Co-authored-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Co-authored-by: Matej Kosec <mkosec@nvidia.com>

* fix(vllm): settle kvwarm stages through a per-step round on every attention-DP rank (ai-dynamo#14728)

Signed-off-by: Yiming Liu <yimingl@nvidia.com>

* feat(vllm): benchmark hybrid caches with random KDA state (ai-dynamo#14900)

Signed-off-by: hongkuanz <hongkuanz@nvidia.com>

* fix(runtime): fix QUIC reassembly and reduce response stalls (ai-dynamo#14876)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* feat(router): unify frontend and standalone selection core (ai-dynamo#14570)

Signed-off-by: Ishan Dhanani <ishandhanani@gmail.com>
Signed-off-by: Thomas Montfort <tjmontfort12@gmail.com>
Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com>
Co-authored-by: Thomas Montfort <tjmontfort12@gmail.com>

* fix(planner): keep control APIs responsive during Prometheus collection (ai-dynamo#14377)

Signed-off-by: xianlubird <xianlubird@gmail.com>
Co-authored-by: Hongkuan Zhou <tedzhouhk@gmail.com>

* fix(router): record SGLang prefill completion after stream ends (ai-dynamo#14968)

Signed-off-by: jain-ria <riajain@NVIDIA.com>

* fix(frontend): send inline media once on the TCP request plane (ai-dynamo#14801)

Signed-off-by: Sumit Mishra <sah299610@gmail.com>
Co-authored-by: Indrajit Bhosale <iamindrajitb@gmail.com>

* docs: refresh community events

Automated refresh from the public Dynamo Google Calendar.

Generated by .github/workflows/community-events-refresh.yml.

Signed-off-by: dynamo-ops <170655669+dynamo-ops@users.noreply.github.com>

* fix(vllm): initialize synchronizer in KV warmup capacity test (ai-dynamo#14984)

Signed-off-by: Alec Flowers <aflowers@nvidia.com>

* fix(recipes): make the Solar Open2 250B benchmark and docs link usable (ai-dynamo#14956)

Signed-off-by: Sandhya Rani Narravula <snarravula@nvidia.com>

* feat(recipes): add K-EXAONE 2.0 750B-A37B NVFP4 vLLM recipes for B200 (ai-dynamo#14822)

Signed-off-by: Cheng Wang <chengwa@nvidia.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* feat: KVCR Resiliency Deployment Example (ai-dynamo#14695)

Add two-node DynamoGraphDeployment examples for process-local KVCR and
the KVCR memory service. Run one vLLM worker per GPU node, use stable
Grove ordinals for cache-owner slots, and request GPU-local RDMA
resources for engines and Guard services. Provide a deployment helper
for rendering and selecting either variant.

Run the KV state agent alongside vLLM for process-local host memory. In
memory-service mode, keep KVCR and the state agent in a separate
container so its Guard and shared-memory pool survive engine restarts.
Document that restarting the services sidecar invalidates the MVP
recovery contract and requires deployment-level replacement.

Add manifest coverage and an opt-in two-host lifecycle test. Kill the
source EngineCore, hold it offline, and verify that the promoted Guard
serves its preserved cache to the surviving target. Correlate response
equality and KVCR transfer metrics with transmit and receive counters
from the selected active HCA to prove RDMA transport.

Pin compatible KVCR and vLLM revisions and document the runtime,
discovery, compatibility-digest, and recovery prerequisites.

Signed-off-by: Adit Ranadive <aranadive@nvidia.com>

* feat(omni): add Nemotron Audex speech synthesis to /v1/audio/speech (ai-dynamo#12788)

Signed-off-by: Thanaji Rao Thakkalapelli <thanaji.rao.thakkalapelli@intel.com>

* ci: allow glamr-agent to request CI on its own unsigned PRs (ai-dynamo#14964)

Signed-off-by: Matej Kosec <mkosec@nvidia.com>

* fix(vllm): isolate multimodal worker ports (ai-dynamo#14751)

Signed-off-by: Keiven Chang <keivenchang@users.noreply.github.com>
Co-authored-by: Keiven Chang <keivenchang@users.noreply.github.com>

* fix(runtime): reject invalid DYN_REQUEST_PLANE values (ai-dynamo#12612)

Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: Matej Kosec <mkosec@nvidia.com>
Signed-off-by: Coding Agent <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Co-authored-by: MatejKosec <mkosec@nvidia.com>

* fix(responses): preserve text instead of inferring tool calls (ai-dynamo#14846)

Signed-off-by: xianlubird <xianlubird@gmail.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

* chore: temporarily increase frontend build time limit 45 --> 90 min (ai-dynamo#15019)

Signed-off-by: Dmitry Tokarev <dtokarev@nvidia.com>

* test(operator): cover scoped CA injection ownership (ai-dynamo#14961)

Signed-off-by: Julien Mancuso <jmancuso@nvidia.com>

* feat(frontend): map semantic errors to HTTP responses (ai-dynamo#14396)

Signed-off-by: Biswa Panda <biswa.panda@gmail.com>

* docs: correct fault-tolerance architecture details (ai-dynamo#14880)

Signed-off-by: Elizabeth Thomas <email2eliza@gmail.com>

* build(deps): bump nats-server to v2.14.7 (ai-dynamo#14919)

Signed-off-by: Dan Gil <dagil@nvidia.com>

* build(deps): bump AISimulate to 0.12.0 (ai-dynamo#15012)

Signed-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>

* remove oneAPI env for XPU detection

* feat(backends): expose native LoRA capacity in model registration (ai-dynamo#14754)

Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Signed-off-by: bzsuni <bingzhe.sun@daocloud.io>
Co-authored-by: bzsuni <86399306+bzsuni@users.noreply.github.com>

* fix(planner): handle pending decisions in virtual connector wait (ai-dynamo#14841)

Signed-off-by: bzsuni <bingzhe.sun@daocloud.io>
Co-authored-by: Hongkuan Zhou <tedzhouhk@gmail.com>

* feat(vllm): add sidecar LoRA lifecycle (ai-dynamo#13068)

Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Signed-off-by: bzsuni <bingzhe.sun@daocloud.io>
Co-authored-by: Julien Darve <jdarve@NVIDIA.com>
Co-authored-by: bzsuni <86399306+bzsuni@users.noreply.github.com>

* fix(vllm/omni): pass response_format into video EngineInputs (ai-dynamo#14667) (ai-dynamo#14844)

* chore: bump version to 1.6.0 post 1.5.0 branch cut (ai-dynamo#15009)

Signed-off-by: pvijayakrish <pvijayakrish@nvidia.com>
Signed-off-by: Pavithra Vijayakrishnan <160681768+pvijayakrish@users.noreply.github.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix(ci): Use `pytest --ignore` to Skip Tests Based on Framework (ai-dynamo#14815)

Signed-off-by: J Wyman <jwyman@nvidia.com>

* feat(sidecar): add e2e CI testing for sidecar launch scripts (ai-dynamo#14508)

Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Co-authored-by: Julien Darve <jdarve@NVIDIA.com>

* chore(xpu): upgrade vllm and omni to 0.29.0

Signed-off-by: wenxin.zhang <wenxin.zhang@intel.com>

* docs(operator): document the DGDR workload-creation trust boundary (ai-dynamo#14429)

Signed-off-by: nnshah1 <neelays@nvidia.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* fix(xpu): use released vllm-omni prerelease

Signed-off-by: Wenxin Zhang <wenxin.zhang@intel.com>

* test(efa): add the EFA disaggregated deploy test for sglang (ai-dynamo#13893)

Signed-off-by: Jie Hao <jihao@nvidia.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

* fix(runtime): support IPv6-only IP resolution (ai-dynamo#13126)

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

* docs(fault-tolerance): clarify migration after shutdown grace expires (ai-dynamo#14872)

Signed-off-by: Jacky <18255193+kthui@users.noreply.github.com>

* feat(vllm-omni): preserve generated video audio (ai-dynamo#13707)

Signed-off-by: Guan Luo <gluo@nvidia.com>
Co-authored-by: Guan Luo <gluo@nvidia.com>

* feat(vllm-omni): pass model-specific video parameters (ai-dynamo#13708)

Signed-off-by: Guan Luo <gluo@nvidia.com>
Co-authored-by: Guan Luo <gluo@nvidia.com>

* feat(vllm-omni): qualify MiniMax-H3 T2VA on B200 (ai-dynamo#13589)

Signed-off-by: Guan Luo <gluo@nvidia.com>
Signed-off-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>
Co-authored-by: Guan Luo <gluo@nvidia.com>
Co-authored-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

* fix(vllm): remove obsolete Omni compatibility guard

Signed-off-by: Wenxin Zhang <wenxin.zhang@intel.com>

* fix(vllm): retain Omni compatibility guard

Signed-off-by: Wenxin Zhang <wenxin.zhang@intel.com>

* .github/workflows/pr-xpu-heterogeneous.yaml; pin GPU_TAG to latest

* .github/workflows/; add post-merge and nightly XPU heterogeneous CI

Extract the XPU heterogeneous P/D pipeline out of pr-xpu-heterogeneous.yaml
into xpu-heterogeneous-run.yml, a workflow_call reusable workflow, and call it
from three thin trigger workflows so all three merge phases run the identical
pipeline instead of drifting copies.

  xpu-heterogeneous-run.yml           new, reusable. guard, changed-files,
                                      build-xpu, build-nvidia, resolve-images
                                      and both heterog tests, unchanged, plus
                                      7 inputs.
  pr-xpu-heterogeneous.yaml           reduced to the pre-merge trigger, the
                                      slash-command gate and the reaction.
  post-merge-xpu-heterogeneous.yaml   new. push to main.
  nightly-xpu-heterogeneous.yaml      new file, but the cron is MOVED, not
                                      added: it is the 0 23 * * * schedule
                                      that was already in
                                      pr-xpu-heterogeneous.yaml.

No behaviour change per phase. force_all_tests replaces the old
  github.event_name == 'schedule' || github.event_name == 'issue_comment'
expression with the same truth table: pre-merge passes
github.event_name == 'issue_comment', nightly passes true. Post-merge also
passes true, because a push to main has no PR base for
.github/actions/changed-files to diff against, and post-merge exists to catch
what per-PR gating missed.

xpu-status-check stays a TOP-LEVEL job in each caller rather than moving into
the reusable workflow. A job contributed by a reusable workflow reports to the
Checks API as "run / xpu-status-check", so hosting it there would rename the
context and leave any branch protection rule requiring xpu-status-check waiting
forever on a check that no longer reports.

The concurrency mapping stays byte-identical across all four workflows that
touch this hardware, now including xpu-heterogeneous-dispatch.yaml. Three files
do NOT get three slots: the cluster, the dynamo-system namespace and the
onexpu-/onenvidia-rdma-kueue ResourceClaimTemplates are one global resource.
The reusable workflow deliberately carries no concurrency block of its own,
which would deadlock against the slot the caller's run already holds.

Parameterised gpu_tag, model, tensor_parallel and runner as inputs so the
callers can diverge; all default to the previously hardcoded values. Added
workflow_dispatch to the nightly, without which a schedule-only workflow cannot
be exercised before it reaches the default branch.

Verified: all files parse; the four concurrency mappings are byte-identical; the
reusable workflow declares no concurrency; every input each caller passes exists
and every required input is supplied; nesting is depth 3 of the 4 GitHub allows.
actionlint was not available to run, and will report queue:max as an unknown key
in all four files, a known false positive.

---------

Signed-off-by: Nikita Sukharev <kaonael@gmail.com>
Signed-off-by: xianlubird <xianlubird@gmail.com>
Signed-off-by: hongkuanz <hongkuanz@nvidia.com>
Signed-off-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Signed-off-by: Sandhya Rani Narravula <snarravula@nvidia.com>
Signed-off-by: Karen Chung <karenc@nvidia.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: Wenxin Zhang <wenxin.zhang@intel.com>
Signed-off-by: VincyZhang <wenxin.zhang@intel.com>
Signed-off-by: krishung5 <krish@nvidia.com>
Signed-off-by: nnshah1 <neelays@nvidia.com>
Signed-off-by: Dmitry Tokarev <dtokarev@nvidia.com>
Signed-off-by: svc-glamr@nvidia.com <svc-glamr@nvidia.com>
Signed-off-by: GLAMR <svc-glamr@nvidia.com>
Signed-off-by: dynamo-ops <170655669+dynamo-ops@users.noreply.github.com>
Signed-off-by: Anant Sharma <anants@nvidia.com>
Signed-off-by: Yingge He <yinggeh@nvidia.com>
Signed-off-by: Julien Darve <jdarve@NVIDIA.com>
Signed-off-by: J Wyman <jwyman@nvidia.com>
Signed-off-by: bzsuni <bingzhe.sun@daocloud.io>
Signed-off-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
Signed-off-by: Matej Kosec <mkosec@nvidia.com>
Signed-off-by: Anna Tchernych <atchernych@nvidia.com>
Signed-off-by: Dan Gil <dagil@nvidia.com>
Signed-off-by: bojiang-li <327132355+bojiang-li@users.noreply.github.com>
Signed-off-by: glamr-agent <glamr-agent@users.noreply.github.com>
Signed-off-by: jain-ria <riajain@NVIDIA.com>
Signed-off-by: tanmayv25 <tanmay2592@gmail.com>
Signed-off-by: Peter Pan <Peter.Pan@daocloud.io>
Signed-off-by: ayaangazali <ayaangazali@users.noreply.github.com>
Signed-off-by: ayaangazali <ayaangazali.work@gmail.com>
Signed-off-by: Vinya Kestur <vinyak@nvidia.com>
Signed-off-by: Biswa Panda <biswa.panda@gmail.com>
Signed-off-by: Schwinn Saereesitthipitak <schwinns@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Ishan Dhanani <ishandhanani@gmail.com>
Signed-off-by: Thomas Montfort <tjmontfort12@gmail.com>
Signed-off-by: Sumit Mishra <sah299610@gmail.com>
Signed-off-by: Alec Flowers <aflowers@nvidia.com>
Signed-off-by: Cheng Wang <chengwa@nvidia.com>
Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
Signed-off-by: Thanaji Rao Thakkalapelli <thanaji.rao.thakkalapelli@intel.com>
Signed-off-by: Keiven Chang <keivenchang@users.noreply.github.com>
Signed-off-by: Coding Agent <svc-glamr@nvidia.com>
Signed-off-by: Julien Mancuso <jmancuso@nvidia.com>
Signed-off-by: Elizabeth Thomas <email2eliza@gmail.com>
Signed-off-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>
Signed-off-by: pvijayakrish <pvijayakrish@nvidia.com>
Signed-off-by: Pavithra Vijayakrishnan <160681768+pvijayakrish@users.noreply.github.com>
Signed-off-by: wenxin.zhang <wenxin.zhang@intel.com>
Signed-off-by: Jie Hao <jihao@nvidia.com>
Signed-off-by: Jacky <18255193+kthui@users.noreply.github.com>
Signed-off-by: Guan Luo <gluo@nvidia.com>
Signed-off-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>
Co-authored-by: Nikita Sukharev <kaonael@gmail.com>
Co-authored-by: Xianlu Bird <xianlubird@gmail.com>
Co-authored-by: Hongkuan Zhou <tedzhouhk@gmail.com>
Co-authored-by: William Arnold <7565007+Aphoh@users.noreply.github.com>
Co-authored-by: Zero Rains <57100978+zeroRains@users.noreply.github.com>
Co-authored-by: snarravula-dl <snarravula@nvidia.com>
Co-authored-by: Karen Chung <karenc@nvidia.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: jthomson04 <jwillthomson19@gmail.com>
Co-authored-by: VincyZhang <wenxin.zhang@intel.com>
Co-authored-by: Kris Hung <krish@nvidia.com>
Co-authored-by: Neelay Shah <neelays@nvidia.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: GLAMR <svc-glamr@nvidia.com>
Co-authored-by: Anant Sharma <anants@nvidia.com>
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Co-authored-by: Yingge He <157551214+yinggeh@users.noreply.github.com>
Co-authored-by: JulienDarve <86800349+JulienDarve@users.noreply.github.com>
Co-authored-by: J Wyman <jwyman@nvidia.com>
Co-authored-by: Rini Gupta <rinig@nvidia.com>
Co-authored-by: bzsuni <86399306+bzsuni@users.noreply.github.com>
Co-authored-by: Sai Kiran Polisetty <spolisetty@nvidia.com>
Co-authored-by: MatejKosec <mkosec@nvidia.com>
Co-authored-by: atchernych <atchernych@nvidia.com>
Co-authored-by: Dan Gil <dagil@nvidia.com>
Co-authored-by: Bojiang Li <327132355+bojiang-li@users.noreply.github.com>
Co-authored-by: Connor Carpenter <connorcarpenter15@gmail.com>
Co-authored-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: Connor Carpenter <connorc@nvidia.com>
Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>
Co-authored-by: Tanmay Verma <tanmayv@nvidia.com>
Co-authored-by: Peter Pan <peter.pan@daocloud.io>
Co-authored-by: Vinya Kestur Tumakuru Arun Kumar <vinyak@nvidia.com>
Co-authored-by: ayaangazali <ayaangazali.work@gmail.com>
Co-authored-by: Biswa Panda <biswa.panda@gmail.com>
Co-authored-by: Tushar Sharma <tusharma@nvidia.com>
Co-authored-by: Schwinn Saereesitthipitak <schwinns@nvidia.com>
Co-authored-by: Ryan Olson <ryanolson@users.noreply.github.com>
Co-authored-by: Yimingl_Nvidia <yimingl@nvidia.com>
Co-authored-by: Thomas Montfort <tjmontfort12@gmail.com>
Co-authored-by: Sumit884-byte <sah299610@gmail.com>
Co-authored-by: Indrajit Bhosale <iamindrajitb@gmail.com>
Co-authored-by: Alec <35311602+alec-flowers@users.noreply.github.com>
Co-authored-by: chw001 <chengwa@nvidia.com>
Co-authored-by: Adit Ranadive <aranadive@nvidia.com>
Co-authored-by: Thanaji Rao Thakkalapelli <thanaji.rao.thakkalapelli@intel.com>
Co-authored-by: Keiven C <213854356+keivenchang@users.noreply.github.com>
Co-authored-by: Keiven Chang <keivenchang@users.noreply.github.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>
Co-authored-by: Dmitry Tokarev <dtokarev@nvidia.com>
Co-authored-by: Julien Mancuso <161955438+julienmancuso@users.noreply.github.com>
Co-authored-by: Elizabeth Thomas <email2eliza@gmail.com>
Co-authored-by: Harrison Saturley-Hall <hsaturleyhal@nvidia.com>
Co-authored-by: Julien Darve <jdarve@NVIDIA.com>
Co-authored-by: Jasim Kareem <mj9034812@gmail.com>
Co-authored-by: Pavithra Vijayakrishnan <160681768+pvijayakrish@users.noreply.github.com>
Co-authored-by: Jie Hao <jihao@nvidia.com>
Co-authored-by: Jacky <18255193+kthui@users.noreply.github.com>
Co-authored-by: Qi Wang <qiwa@nvidia.com>
Co-authored-by: Guan Luo <gluo@nvidia.com>
Co-authored-by: GuanLuo <41310872+GuanLuo@users.noreply.github.com>
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