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

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rmccorm4 merged 2 commits into
ai-dynamo:mainfrom
Prudctual:cursor/omni-video-response-format-fbb4
Sep 18, 2026
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rmccorm4 merged 2 commits into
ai-dynamo:mainfrom
Prudctual:cursor/omni-video-response-format-fbb4

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@Prudctual

@Prudctual Prudctual commented Sep 15, 2026 •

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Overview

Pass response_format from the video request into EngineInputs so b64_json is not dropped for T2V/I2V.

Details

_engine_inputs_from_video() omitted response_format, so the formatter defaulted to a local file:// URL. Image/audio already forwarded delivery format. I2V shares the video builder. FFmpeg color corruption (issue part B) is out of scope.

Where should the reviewer start?

components/src/dynamo/vllm/omni/omni_handler.py then the new unit tests in test_omni_handler.py.

Related Issues

Summary by CodeRabbit

  • Bug Fixes
    • Video generation now respects the requested response format when returning results.
    • Requests specifying Base64-encoded JSON or a URL receive responses in the selected format.
    • Consistent response-format handling is supported across text-to-video and image-to-video generation workflows.

_engine_inputs_from_video dropped req.response_format, so b64_json
requests fell back to a pod-local file URL. Image and audio builders
already forward the delivery format; T2V and I2V share this path.

Signed-off-by: Jasim Kareem <mj9034812@gmail.com>

Co-authored-by: Jasim Kareem <mj9034812@gmail.com>
@Prudctual
Prudctual requested review from a team as code owners September 15, 2026 07:45
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This pull request requires additional validation before any workflows can run on NVIDIA's runners.

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@Prudctual
Prudctual deployed to external_collaborator September 15, 2026 07:45 — with GitHub Actions Active
@Prudctual
Prudctual deployed to external_collaborator September 15, 2026 07:45 — with GitHub Actions Active
@github-actions github-actions Bot added the fix label Sep 15, 2026
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👋 Hi Prudctual! Thank you for contributing to ai-dynamo/dynamo.

Just a reminder: The NVIDIA Test Github Validation CI runs an essential subset of the testing framework to quickly catch errors.Your PR reviewers may elect to test the changes comprehensively before approving your changes.

🚀

@github-actions github-actions Bot added backend::vllm Relates to the vllm backend multimodal external-contribution Pull request is from an external contributor labels Sep 15, 2026
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Review Change StackReview Change Stack

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
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Reviewing files that changed from the base of the PR and between b6a5b70 and e757801.

📒 Files selected for processing (2)
  • components/src/dynamo/vllm/omni/omni_handler.py
  • components/src/dynamo/vllm/tests/omni/test_omni_handler.py

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Walkthrough

The video request handler now forwards req.response_format into EngineInputs. Tests verify b64_json and url for image generation, text-to-video, and image-to-video requests.

Changes

Response format propagation

Layer / File(s) Summary
Engine input forwarding and coverage
components/src/dynamo/vllm/omni/omni_handler.py, components/src/dynamo/vllm/tests/omni/test_omni_handler.py
Video request handling includes response_format in EngineInputs. Parameterized tests verify b64_json and url values for image and video generation paths.

Priority: ➖ Normal

Estimated code review effort: 1 (Trivial) | ~5 minutes

Severity of issue fixed: Medium

Merge Risk: ⚪ Minimal · up to e7578

No supported merge-blocking risk remains for this change.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Linked Issues check ⚠️ Warning Issue #14667 requires response-format preservation, decodable inline MP4 delivery for b64_json, URL delivery, FFmpeg/runtime color correction, and a model-free RGB-quadrant codec regression test. Th… Implement the required FFmpeg/runtime and x86 build changes. Add the model-free RGB-quadrant codec regression test. Add focused coverage or other reviewable evidence that a b64_json video response is a decodable inline MP4 while configure…
✅ Passed checks (4 passed)
Check name Status Explanation
Description check ✅ Passed The description includes the required Overview, Details, reviewer-start, and Related Issues sections. It explains the change, identifies the files to review, links issue #14667, and states the out-of-…
Title check ✅ Passed The title clearly and concisely describes the main change: passing response_format into video EngineInputs in vllm/omni.
Out of Scope Changes check ✅ Passed The changed source line propagates response_format into video EngineInputs. The added tests verify response-format propagation for image, text-to-video, and image-to-video requests. These changes …
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 5 functions across 2 files.
Full details: Linked Issues check

Explanation

Issue #14667 requires response-format preservation, decodable inline MP4 delivery for b64_json, URL delivery, FFmpeg/runtime color correction, and a model-free RGB-quadrant codec regression test. The PR adds response_format=req.response_format to video EngineInputs. It adds tests for b64_json and url propagation for image, text-to-video, and image-to-video requests. The PR does not change the FFmpeg/runtime encoding path and does not add the required RGB-quadrant codec regression test. The available evidence also does not demonstrate decodable MP4 output.

Resolution

Implement the required FFmpeg/runtime and x86 build changes. Add the model-free RGB-quadrant codec regression test. Add focused coverage or other reviewable evidence that a b64_json video response is a decodable inline MP4 while configured URL delivery remains correct.

  • Fix all pre-merge checks with AI

Comment @coderabbitai help to get the list of available commands.

Comment thread components/src/dynamo/vllm/tests/omni/test_omni_handler.py Outdated
Comment thread components/src/dynamo/vllm/tests/omni/test_omni_handler.py Outdated
Comment thread components/src/dynamo/vllm/tests/omni/test_omni_handler.py
@Jont828

Jont828 commented Sep 16, 2026

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@Prudctual Thanks for picking this up! Can you sign the commit, seems like it's unverified.

@rmccorm4

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/ok to test e757801

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thanks for the look @Jont828. ill push a signed commit once signing is set up on my side (current one is unverified). noted the test nits as non-blocking and will leave those cases as is for now. appreciate the /ok to test from @rmccorm4 as well.

@rmccorm4

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One small comment, otherwise LGTM: #14844 (comment)

Keep video and I2V coverage for b64_json and url. This PR only
threads response_format through the video engine path.

Signed-off-by: Jasim Kareem <mj9034812@gmail.com>

Co-authored-by: Jasim Kareem <mj9034812@gmail.com>
@pull-request-size pull-request-size Bot added size/S and removed size/M labels Sep 17, 2026
@cursor
cursor Bot deployed to external_collaborator September 17, 2026 19:35 Active
@rmccorm4
rmccorm4 enabled auto-merge (squash) September 17, 2026 19:57
@rmccorm4

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/ok to test 4ffdc68

@rmccorm4
rmccorm4 merged commit 3264d8f into ai-dynamo:main Sep 18, 2026
108 checks passed
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>
Co-authored-by: yunzhoul-nv <232973175+yunzhoul-nv@users.noreply.github.com>
Co-authored-by: dynamo-ops <170655669+dynamo-ops@users.noreply.github.com>
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>
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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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backend::vllm Relates to the vllm backend external-contribution Pull request is from an external contributor fix multimodal size/S

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[BUG]: vllm-omni-video-agg on 1.4.2 drops base64 delivery and corrupts video colors

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