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feat: KVCR Resiliency Deployment Example - #14695
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WalkthroughAdds process-local and memory-service KVCR Kubernetes deployments for aggregated vLLM workers. Adds deployment automation, manifest validation, live-cluster Guard recovery tests, configuration markers, and deployment documentation. ChangesKVCR deployment workflow
Priority: ⬇️ Low Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: 🟡 Moderate · up to A failed deployment can leave broken KVCR workloads active because they lack Grove replica indices. This operational issue should be fixed before merge; the remaining findings affect deployment guidance and test reliability. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 3.85% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 26 functions across 3 files. (5 skipped: 5 unsupported.)
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Actionable comments posted: 5
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Inline comments:
In `@examples/backends/vllm/deploy/kvcr/deploy.sh`:
- Around line 60-74: Update the provider-validation failure branch in deploy.sh
to delete the DGD created by this invocation before exiting when the selected
provider is not grove. Reuse the existing namespace and deployment-name
identifiers for the deletion, preserve the current error message, and still
return failure after cleanup.
In `@examples/backends/vllm/deploy/kvcr/README.md`:
- Around line 42-43: Update the dependency reference in the README around the
vLLM PR link: replace the `mv-kvcc/kvcc_repo` branch reference with the exact
vLLM repository, branch, and commit specified by PR `#53624`, and add a separate
link identifying the `ai-dynamo/kvcr` repository on its `main` branch.
In `@pyproject.toml`:
- Line 358: Update pytest_configure in tests/conftest.py to register the
framework_with_kvcr marker alongside framework_with_efa, matching its
declaration in pyproject.toml.
In `@tests/deploy/test_kvcr_guard.py`:
- Around line 67-72: Bound every listed subprocess invocation with a suitable
timeout: update _kubectl and _render_manifest in tests/deploy/test_kvcr_guard.py
(lines 67-72 and 182-188), and the three deploy-script tests in
tests/deploy/test_kvcr_manifests.py (lines 146-152, 190-196, and 213-219).
Update _wait_until in tests/deploy/test_kvcr_guard.py to catch
subprocess.TimeoutExpired from polling and retry rather than aborting.
In `@tests/deploy/test_kvcr_manifests.py`:
- Around line 182-188: Update the environment setup in the affected test to
explicitly set KVCR_MEMORY_SERVICE_ENABLED to the required disabled value after
copying os.environ, preventing ambient environment settings from affecting
deploy.sh behavior; preserve the existing DYNAMO_UCX_NET_DEVICES and
DYNAMO_VLLM_IMAGE overrides.
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📒 Files selected for processing (8)
examples/backends/vllm/deploy/README.mdexamples/backends/vllm/deploy/kvcr/README.mdexamples/backends/vllm/deploy/kvcr/agg-memory-service.yamlexamples/backends/vllm/deploy/kvcr/agg.yamlexamples/backends/vllm/deploy/kvcr/deploy.shpyproject.tomltests/deploy/test_kvcr_guard.pytests/deploy/test_kvcr_manifests.py
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PeaBrane
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Could we move the embedded startup and supervision logic into named, tested entrypoints available in the runtime image? The socket waits, connector configuration, and child-process cleanup would be easier to maintain there, with the manifests focused on deployment configuration.
PeaBrane
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AI-assisted review (Codex): three additional observations from static inspection of this head and the relevant runtime/dependency code, with proposed fixes inline. Existing feedback has been excluded. No tests or live-cluster validation were run.
Add two-node process-local and memory-service KVCR deployments. Require GPU-local RDMA selection and document deterministic Guard recovery while the source engine is held offline. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
Check two-node placement, GPU and RDMA resources, process lifecycle, rendered configuration, and safe deployment inputs. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
Add an opt-in two-host RDMA deployment test that holds a source vLLM engine offline and proves its KVCR Guard serves cached blocks to the surviving engine. Capture phase logs, transfer metrics, UCX protocol selection, and response equality. Supply Pod identity to the explicit state-agent sidecar. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
Use the operator-owned HTTP probes for the main worker container and keep pre-deployment RDMA checks out of the DGD scripts. Keep fault injection test-only, bound kubectl operations, and wait for the restarted engine to become Ready. Isolate the state agent from inherited worker canary settings on current Dynamo runtimes. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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Separate the logical cache slot from the Grove replica index used for state-agent placement. Validate and format the slot when constructing the cache owner, and use the configured slot count for state-agent capacity. Document the stable identity contract and the exact vLLM and KVCR revisions used by the latest two-host validation. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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Follow-up on the overall launcher/entrypoint suggestion: agreed, but this is intentionally not represented as completed by the manifest cleanup. The current runtime image does not yet provide named entrypoints that supervise dynamo.vllm plus kv_state_agent or kvcr_service plus kv_state_agent. This PR retains the minimum inline supervision and the combined sidecar probes needed by the shipped binaries. A follow-up should move signal propagation, child reaping, namespace construction, socket readiness, and combined HTTP live/ready reporting into tested image-owned entrypoints; the manifests can then become configuration-only. |
Use the formatter-selected single-line expression in the KVCR manifest fault-gate helper. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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Use 2026 as the initial copyright year for files introduced by this change. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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Use the KVCR v0.1.0 tag and an immutable vLLM PR or merged commit instead of naming a mutable contributor branch. Remove UCX protocol tracing from the example manifests. The resiliency test continues to prove RDMA with selected-HCA transmit and receive counters. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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Document that restarting the KVCR services sidecar invalidates the MVP Guard recovery contract and requires deployment-level recovery. Add pytest timeouts around manifest tests that invoke subprocesses. Signed-off-by: Adit Ranadive <aranadive@nvidia.com>
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dmitry-tokarev-nv
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Reviewed at 3966a969e3. Two findings, both non-blocking (1 x P2, 1 x P3).
What I verified by execution rather than by reading
Both manifests render, and both are schema-clean. deploy.sh --render-only succeeds for each variant; envsubst with an explicit SHELL-FORMAT substitutes the four DYNAMO_* variables while leaving the container scripts' own ${DYN_NAMESPACE_WORKER_SUFFIX:-} intact. Walking both rendered documents against deploy/operator/config/crd/bases/nvidia.com_dynamographdeployments.yaml (v1beta1): every field name under spec exists in the schema, so zero fields would be pruned by the API server, and both validate against it with zero errors. Nothing here is a silently-dropped key.
The embedded shell is sound. All three container scripts pass bash -n once the YAML block scalar is dedented -- in particular the <<'PY' terminator lands at column 0, which it has to. Running the extracted kv_transfer_config=$(...) block directly: slots 0 and 1 produce distinct well-formed owner IDs; slot 2 against KVCR_CACHE_SLOT_COUNT=2 exits non-zero with KVCR cache slot 2 is outside [0, 2); an empty slot (the shape you get when the Grove pod-index label is absent) exits non-zero with the decimal-integer message. Under bash, set -e propagates the command-substitution failure, so the container fails fast instead of starting vLLM with a bad owner ID.
The anti-affinity actually binds. nvidia.com/dynamo-component and nvidia.com/dynamo-graph-deployment-name are the labels the operator puts on worker pods (internal/consts/consts.go:70-71, applied through generateLabels -> clique.Labels); the same pair is what buildPodSelector in the scaling-adapter controller and ManagedDeployment.get_pods select on. The selector is not a no-op, so "the second worker stays Pending without a second eligible node" is a real constraint. Tolerations are live, not commented out, and GPU/RDMA appear in both requests and limits.
The sidecar is genuinely untouched by the operator. generatePodSpec collects every user container whose name is not main into sidecars and appends them verbatim after the generated container, so kvcr-services keeps DYN_SYSTEM_PORT=9091 and its own three probes and never receives DYN_SYSTEM_USE_ENDPOINT_HEALTH_STATUS. Container-mode discovery does give the two containers separate CR names (<pod> for main, <pod>-kvcr-services otherwise -- lib/runtime/src/discovery/kube/utils.rs), so the README's "separate metadata writers" claim holds.
Namespace composition lines up. DYN_NAMESPACE is injected into main by the operator, so state_namespace=$DYN_NAMESPACE under set -u is safe; and "${DYN_NAMESPACE}-${DYN_NAMESPACE_WORKER_SUFFIX}" matches get_worker_namespace() exactly, so the sidecar's state agent registers in the same Dynamo namespace the engine resolves when it looks for the kv_state_agent host.
The README's commands run as written. -m framework_with_kvcr collects exactly test_kvcr_memory_service_guard_serves_after_engine_restart and nothing else; --image, --namespace and --skip-service-restart all exist. workingDir and the hf-token-secret envFrom match the sibling examples in this directory. The KVCR v0.1.0 tag resolves.
On the resiliency demonstration specifically
It does distinguish "recovered" from "never broke", which is not the usual outcome for this shape of test. It never reads one fixed endpoint: it identifies source and target by per-pod metric deltas, asserts the target was not seeded by the first request, holds the restarted engine down with a marker file and re-asserts pgrep finds no EngineCore before issuing the second request, then requires three independent increments on the target -- remote_deliver transfer blocks, kv_offload_tiering_read_bytes_total{tier="1:kvcr"}, and prompt_tokens_by_source_total{source="external_kv_transfer"} -- plus source-side port_xmit_data and target-side port_rcv_data covering the payload. A target that had simply recomputed the prefix locally would show zero external_kv_transfer tokens and fail the assertion. That is a real discriminator.
I could not run it. It needs two hosts with RDMA; the machine available to me is a single-GPU node with a local single-node Kubernetes, so nothing about multi-node failover or GPU-scale resiliency was executable here.
What I could not verify
Anything inside the KVCR package itself (secondary_g2_slots, compatibility_digest, kvcr_service_socket_path, --guard-count, --pool-sizes-gb, and the socket protocol), the live two-host transfer, and whether pkill -9 -f '[V]LLM::EngineCore' reliably takes the exec-ed dynamo.vllm parent down with it. All need hardware I do not have.
Previously raised, re-checked at this head
DYN_SYSTEM_USE_ENDPOINT_HEALTH_STATUSon the state agent: the premise was right and the fix is right.use_endpoint_health_statusis not inert despite the deprecation warning inconfig.rs--system_health.rsgives it precedence over health-check targets, so an inherited["generate"]would have pinned the agent's health to an endpoint it never registers.env -uinagg.yamlremoves it, and the memory-service sidecar never receives it in the first place (see the sidecar note above).- Source-recovery gate: now
_container_status(...)["ready"], i.e. the operator's/healthreadiness probe, not a non-empty/metricsbody -- so the "metrics server is up before the engine is initialised" gap is closed. Verifying a generation explicitly routed back to the recovered source is still not done; reasonable to defer for an MVP example. - Subprocess timeouts: every
subprocess.runin both new test files now carriestimeout=, and_wait_untilcatchesTimeoutExpiredso polling retries rather than aborting.
Approving: zero P0, zero P1, two combined P2+P3.
* 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 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Overview:
Adds an MVP Dynamo deployment example for validating KVCR resiliency across two GPU nodes using RDMA.
The example supports both process-local KVCR and a KVCR memory-service sidecar. The memory-service variant demonstrates that the KVCR Guard and shared cache pool remain available when the local vLLM engine fails and restarts.
Details:
rc_x,cudaand requires explicit GPU-local HCA selection.Runtime cross-host RDMA transfer remains an explicit deployment-time validation step; the static tests do not claim RDMA or automated resiliency proof.
Where should the reviewer start?
examples/backends/vllm/deploy/kvcr/README.mdexamples/backends/vllm/deploy/kvcr/agg-memory-service.yamlexamples/backends/vllm/deploy/kvcr/agg.yamlexamples/backends/vllm/deploy/kvcr/deploy.shtests/deploy/test_kvcr_manifests.pyRelated Issues
🚫 This PR is NOT linked to an issue:
Summary by CodeRabbit
New Features
Tests