[CI] Filter import-only files using function-level coverage

Skip files where only module-level code ran (imports, class defs) but no named functions were actually called. Uses the functions_called field from stripped coverage JSON. Reduces false-positive mappings by ~78% — e.g. ompmultiprocessing.py drops from 73 steps to 0 (only used on CPU but imported everywhere). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Merge main into worktree-coverage-test-mapping
2026-05-26 16:02:20 -07:00 · 2026-05-26 01:38:31 -07:00 · 2026-05-26 01:20:44 -07:00 · 2026-05-21 03:41:19 -07:00 · 2026-05-21 02:14:01 -07:00
2560 changed files with 85854 additions and 278381 deletions
@@ -2,16 +2,17 @@ name: vllm_intel_ci
 job_dirs:
  - ".buildkite/intel_jobs"
 run_all_patterns:
-  - ".buildkite/ci_config_intel.yaml"
  - "docker/Dockerfile"
-  - "docker/Dockerfile.xpu"
  - "CMakeLists.txt"
  - "requirements/common.txt"
  - "requirements/xpu.txt"
+  - "requirements/build/cuda.txt"
+  - "requirements/test/cuda.txt"
  - "setup.py"
  - "csrc/"
  - "cmake/"
 run_all_exclude_patterns:
+  - "docker/Dockerfile."
  - "csrc/cpu/"
  - "csrc/rocm/"
  - "cmake/hipify.py"
@@ -1,23 +0,0 @@
-name: vllm_rocm_ci
-job_dirs:
-  - ".buildkite/hardware_tests"
-run_all_patterns:
-  - "docker/Dockerfile.rocm"
-  - "docker/Dockerfile.rocm_base"
-  - "docker/ci-rocm.hcl"
-  - "docker/docker-bake-rocm.hcl"
-  - ".buildkite/hardware_tests/amd.yaml"
-  - ".buildkite/scripts/ci-bake-rocm.sh"
-  - ".buildkite/scripts/hardware_ci/run-amd-test.py"
-  - ".buildkite/scripts/hardware_ci/run-amd-test.sh"
-  - "CMakeLists.txt"
-  - "requirements/common.txt"
-  - "requirements/rocm.txt"
-  - "requirements/build/rocm.txt"
-  - "requirements/test/rocm.txt"
-  - "setup.py"
-  - "csrc/"
-  - "cmake/"
-run_all_exclude_patterns:
-  - "csrc/cpu/"
-  - "cmake/cpu_extension.cmake"
@@ -1,75 +1,22 @@
-group: Hardware - AMD Build
+group: Hardware - AMD Build 
 steps:
-  # Ensure ci_base is up-to-date before building the test image.
-  # Compares a content hash of ci_base-affecting files against the remote
-  # image label. If hashes match the build is skipped (< 30 s); if they
-  # differ ci_base is rebuilt and pushed automatically.
-  - label: "AMD: :docker: ensure ci_base"
-    key: ensure-ci-base-amd
-    soft_fail: false
+  - label: "AMD: :docker: build image"
+    key: image-build-amd
    depends_on: []
    device: amd_cpu
    no_plugin: true
    commands:
-      - bash .buildkite/scripts/ci-bake-rocm.sh ci-base-rocm-ci-with-deps
+    - >
+      docker build
+      --build-arg max_jobs=16
+      --build-arg REMOTE_VLLM=1
+      --build-arg ARG_PYTORCH_ROCM_ARCH='gfx90a;gfx942;gfx950'
+      --build-arg VLLM_BRANCH=$BUILDKITE_COMMIT
+      --tag "rocm/vllm-ci:${BUILDKITE_COMMIT}"
+      -f docker/Dockerfile.rocm
+      --target test
+      --no-cache
+      --progress plain .
+    - docker push "rocm/vllm-ci:${BUILDKITE_COMMIT}"
    env:
      DOCKER_BUILDKIT: "1"
-      VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
-      PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
-      REMOTE_VLLM: "1"
-      VLLM_BRANCH: "$BUILDKITE_COMMIT"
-    retry:
-      automatic:
-        - exit_status: -1  # Agent was lost
-          limit: 1
-        - exit_status: -10  # Agent was lost
-          limit: 1
-
-  - label: "AMD: :docker: build test image and artifacts"
-    key: image-build-amd
-    soft_fail: false
-    depends_on:
-      - ensure-ci-base-amd
-    device: amd_cpu
-    no_plugin: true
-    commands:
-      - |
-        if [[ "${ROCM_CI_ARTIFACT_ONLY:-0}" == "1" ]]; then
-          echo "ROCM_CI_ARTIFACT_ONLY=1; building ROCm wheel artifact only"
-          IMAGE_TAG="" bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-artifacts
-        else
-          bash .buildkite/scripts/ci-bake-rocm.sh test-rocm-ci-with-wheel
-        fi
-      - |
-        docker run --rm --network=none --entrypoint /bin/bash "rocm/vllm-ci:${BUILDKITE_COMMIT}" -ec '
-          if [ ! -d /vllm-workspace ]; then echo Missing directory: /vllm-workspace >&2; exit 1; fi
-          if [ ! -d /vllm-workspace/tests ]; then echo Missing directory: /vllm-workspace/tests >&2; exit 1; fi
-          if [ ! -d /vllm-workspace/src/vllm ]; then echo Missing directory: /vllm-workspace/src/vllm >&2; exit 1; fi
-          if [ ! -x /vllm-workspace/src/vllm/vllm-rs ]; then echo Missing executable: /vllm-workspace/src/vllm/vllm-rs >&2; exit 1; fi
-          command -v python3
-          command -v uv
-          command -v pytest
-          if ! command -v amd-smi >/dev/null 2>&1 && ! command -v rocminfo >/dev/null 2>&1; then
-            echo No ROCm CLI found in image >&2
-            exit 1
-          fi
-          python3 - <<PY
-        import torch, vllm
-        print(torch.__version__)
-        print(vllm.__version__)
-        PY
-          echo AMD image smoke OK
-        '
-    env:
-      DOCKER_BUILDKIT: "1"
-      VLLM_BAKE_FILE: "docker/docker-bake-rocm.hcl"
-      PYTORCH_ROCM_ARCH: "gfx90a;gfx942;gfx950"
-      IMAGE_TAG: "rocm/vllm-ci:$BUILDKITE_COMMIT"
-      REMOTE_VLLM: "1"
-      VLLM_BRANCH: "$BUILDKITE_COMMIT"
-    retry:
-      automatic:
-        - exit_status: -1  # Agent was lost
-          limit: 1
-        - exit_status: -10  # Agent was lost
-          limit: 1
@@ -16,7 +16,6 @@ steps:
  - tests/kernels/test_onednn.py
  - tests/kernels/test_awq_int4_to_int8.py
  - tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
-  - tests/kernels/mamba/cpu/test_cpu_gdn_ops.py
  commands:
    - |
      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
@@ -25,22 +24,20 @@ steps:
      pytest -x -v -s tests/kernels/moe/test_cpu_quant_fused_moe.py
      pytest -x -v -s tests/kernels/test_onednn.py
      pytest -x -v -s tests/kernels/test_awq_int4_to_int8.py
-      pytest -x -v -s tests/kernels/quantization/test_cpu_fp8_scaled_mm.py
-      pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py"
+      pytest -x -v -s tests/kernels/quantization/test_cpu_fp8_scaled_mm.py"

-# Note: SDE can't be downloaded from CI host because of AWS WAF
-# - label: CPU-Compatibility Tests
-#   depends_on: []
-#   device: intel_cpu
-#   no_plugin: true
-#   source_file_dependencies:
-#   - cmake/cpu_extension.cmake
-#   - setup.py
-#   - vllm/platforms/cpu.py
-#   commands:
-#     - |
-#       bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 20m "
-#       bash .buildkite/scripts/hardware_ci/run-cpu-compatibility-test.sh"
+- label: CPU-Compatibility Tests
+  depends_on: []
+  device: intel_cpu
+  no_plugin: true
+  source_file_dependencies:
+  - cmake/cpu_extension.cmake
+  - setup.py
+  - vllm/platforms/cpu.py
+  commands:
+    - |
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 20m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-compatibility-test.sh"

 - label: CPU-Language Generation and Pooling Model Tests
  depends_on: []
@@ -53,7 +50,7 @@ steps:
  - tests/models/language/pooling/
  commands:
    - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 50m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 40m "
      pytest -x -v -s tests/models/language/generation -m cpu_model
      pytest -x -v -s tests/models/language/pooling -m cpu_model"

@@ -65,18 +62,11 @@ steps:
  source_file_dependencies:
  - vllm/v1/worker/cpu/
  - vllm/v1/worker/gpu/
-  - vllm/v1/sample/ops/topk_topp_triton.py
-  - vllm/v1/sample/ops/topk_topp_sampler.py
-  - tests/v1/sample/test_topk_topp_sampler.py
-  - tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py
  commands:
    - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
      uv pip install git+https://github.com/triton-lang/triton-cpu.git@270e696d
-      VLLM_USE_V2_MODEL_RUNNER=1 pytest -x -v -s tests/models/language/generation/test_granite.py -m cpu_model
-      # TODO: move to CPU-Kernel Tests once triton-cpu has a pre-built wheel
-      pytest -x -v -s tests/v1/sample/test_topk_topp_sampler.py::TestTritonTopkTopp
-      pytest -x -v -s tests/v1/e2e/test_cpu_linear_attn_chunked_prefix.py"
+      VLLM_USE_V2_MODEL_RUNNER=1 pytest -x -v -s tests/models/language/generation/test_granite.py -m cpu_model"

 - label: CPU-Quantization Model Tests
  depends_on: []
@@ -84,20 +74,19 @@ steps:
  no_plugin: true
  source_file_dependencies:
  - csrc/cpu/
+  - vllm/model_executor/layers/quantization/cpu_wna16.py
  - vllm/model_executor/layers/quantization/auto_gptq.py
  - vllm/model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a8_int8.py
-  - vllm/model_executor/kernels/linear/mixed_precision/cpu.py
-  - vllm/model_executor/kernels/linear/scaled_mm/cpu.py
+  - vllm/model_executor/layers/quantization/kernels/scaled_mm/cpu.py
+  - vllm/model_executor/layers/quantization/kernels/mixed_precision/cpu.py
  - vllm/model_executor/layers/fused_moe/experts/cpu_moe.py
  - tests/quantization/test_compressed_tensors.py
  - tests/quantization/test_cpu_wna16.py
-  - tests/quantization/test_cpu_w8a8.py
  commands:
    - |
-      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
+      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 30m "
      pytest -x -v -s tests/quantization/test_compressed_tensors.py::test_compressed_tensors_w8a8_logprobs
-      pytest -x -v -s tests/quantization/test_cpu_wna16.py
-      pytest -x -v -s tests/quantization/test_cpu_w8a8.py"
+      pytest -x -v -s tests/quantization/test_cpu_wna16.py"
      
 - label: CPU-Distributed Tests (PP+TP)
  depends_on: []
@@ -140,7 +129,7 @@ steps:
    - |
      bash .buildkite/scripts/hardware_ci/run-cpu-test.sh 45m "
      pytest -x -v -s tests/models/multimodal/generation --ignore=tests/models/multimodal/generation/test_pixtral.py -m cpu_model --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB"
-  parallelism: 4
+  parallelism: 3

 - label: "Arm CPU Test"
  depends_on: []
@@ -1,80 +0,0 @@
-group: Intel
-steps:
-  - label: ":docker: Build XPU image"
-    soft_fail: true
-    optional: true
-    depends_on: []
-    key: image-build-xpu
-    commands:
-      - bash -lc '.buildkite/image_build/image_build_xpu.sh "public.ecr.aws/q9t5s3a7" "vllm-ci-test-repo" "$BUILDKITE_COMMIT"'
-    env:
-      DOCKER_BUILDKIT: "1"
-    retry:
-      automatic:
-        - exit_status: -1  # Agent was lost
-          limit: 2
-        - exit_status: -10  # Agent was lost
-          limit: 2
-  - label: "XPU example Test"
-    depends_on:
-      - image-build-xpu
-    timeout_in_minutes: 30
-    optional: true
-    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 2+
-      mem: 24+
-    no_plugin: true
-    env:
-      REGISTRY: "public.ecr.aws/q9t5s3a7"
-      REPO: "vllm-ci-test-repo"
-    source_file_dependencies:
-      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
-      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
-    commands:
-      - >-
-        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh example'
-  - label: "XPU V1 test"
-    depends_on:
-      - image-build-xpu
-    timeout_in_minutes: 30
-    optional: true
-    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 1+
-      mem: 16+
-    no_plugin: true
-    env:
-      REGISTRY: "public.ecr.aws/q9t5s3a7"
-      REPO: "vllm-ci-test-repo"
-    source_file_dependencies:
-      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
-      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
-    commands:
-      - >-
-        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh v1'
-  - label: "XPU server test"
-    depends_on:
-      - image-build-xpu
-    timeout_in_minutes: 30
-    optional: true
-    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 1+
-      mem: 16+
-    no_plugin: true
-    env:
-      REGISTRY: "public.ecr.aws/q9t5s3a7"
-      REPO: "vllm-ci-test-repo"
-    source_file_dependencies:
-      - .buildkite/hardware_tests/intel_xpu_ci/test-intel.yaml
-      - .buildkite/scripts/hardware_ci/run-intel-ci-test.sh
-    commands:
-      - >-
-        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-        'bash .buildkite/scripts/hardware_ci/run-intel-ci-test.sh server'
@@ -6,26 +6,14 @@ steps:
    timeout_in_minutes: 600
    commands:
    - if [[ "$BUILDKITE_BRANCH" == "main" ]]; then .buildkite/image_build/image_build.sh $REGISTRY $REPO $BUILDKITE_COMMIT $BRANCH $IMAGE_TAG $IMAGE_TAG_LATEST; else .buildkite/image_build/image_build.sh $REGISTRY $REPO $BUILDKITE_COMMIT $BRANCH $IMAGE_TAG; fi
-    retry:
-      automatic:
-        - exit_status: -1  # Agent was lost
-          limit: 2
-        - exit_status: -10  # Agent was lost
-          limit: 2
-
-  - label: ":docker: :smoking: Non-root smoke tests"
-    key: image-build-smoke-test
-    depends_on:
-      - image-build
-    commands:
-    # Smoke 1: the default (root) image must still be importable
+    # Non-root smoke 1: the default (root) image must still be importable
    # under a non-root UID via `--user 2000:0`. Validates the `vllm` passwd
    # entry + group-0-writable /home/vllm + uv path cleanup from #31959.
    # Uses `import vllm` rather than `vllm serve --help` because the latter
    # instantiates `VllmConfig` which requires a GPU attached to the
    # container.
    - docker run --rm --user 2000:0 --entrypoint python3 "$IMAGE_TAG" -c "import vllm; print(vllm.__version__)"
-    # Smoke 2: assert the non-root enabling invariants are baked
+    # Non-root smoke 2: assert the non-root enabling invariants are baked
    # into the image. Runs as UID 2000:0 via a shell so we can verify
    # filesystem perms + passwd/group file state + wrapper presence without
    # triggering vLLM's GPU-requiring config-init path. The opt-in
@@ -110,21 +98,3 @@ steps:
          limit: 2
        - exit_status: -10  # Agent was lost
          limit: 2
-
-  - label: ":docker: Build arm64 image"
-    key: arm64-image-build
-    depends_on: []
-    source_file_dependencies:
-      - ".buildkite/image_build/image_build.yaml"
-      - ".buildkite/image_build/image_build_arm64.sh"
-      - "docker/Dockerfile"
-    commands:
-    - .buildkite/image_build/image_build_arm64.sh $REGISTRY $REPO $BUILDKITE_COMMIT
-    env:
-      DOCKER_BUILDKIT: "1"
-    retry:
-      automatic:
-        - exit_status: -1  # Agent was lost
-          limit: 2
-        - exit_status: -10  # Agent was lost
-          limit: 2
@@ -1,38 +0,0 @@
-#!/bin/bash
-set -e
-
-if [[ $# -lt 3 ]]; then
-  echo "Usage: $0 <registry> <repo> <commit>"
-  exit 1
-fi
-
-REGISTRY=$1
-REPO=$2
-BUILDKITE_COMMIT=$3
-
-# authenticate with AWS ECR
-aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin "$REGISTRY" || true
-
-# skip build if image already exists
-if [[ -z $(docker manifest inspect "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64) ]]; then
-  echo "Image not found, proceeding with build..."
-else
-  echo "Image found"
-  exit 0
-fi
-
-# build for arm64 GPU targets: Grace/GH200 (sm_90) and DGX Spark/GB10
-# (sm_121, family-covered by 12.0 under CUDA 13)
-docker build --file docker/Dockerfile \
-  --platform linux/arm64 \
-  --build-arg max_jobs=16 \
-  --build-arg nvcc_threads=4 \
-  --build-arg torch_cuda_arch_list="9.0 12.0" \
-  --build-arg USE_SCCACHE=1 \
-  --build-arg buildkite_commit="$BUILDKITE_COMMIT" \
-  --tag "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64 \
-  --target test \
-  --progress plain .
-
-# push
-docker push "$REGISTRY"/"$REPO":"$BUILDKITE_COMMIT"-arm64
@@ -1,27 +0,0 @@
-group: Basic Correctness
-depends_on:
-  - image-build-xpu
-steps:
- label: XPU Sleep Mode
-  timeout_in_minutes: 30
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/basic_correctness/test_cumem.py
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'cd tests &&
-      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
-      pytest -v -s basic_correctness/test_cpu_offload.py &&
-      pytest -v -s basic_correctness/test_mem.py::test_end_to_end'
@@ -5,10 +5,6 @@ steps:
 - label: Engine (1 GPU)
  timeout_in_minutes: 30
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -1,27 +0,0 @@
-group: Expert Parallelism
-depends_on:
-  - image-build-xpu
-steps:
- label: EPLB Algorithm
-  key: eplb-algorithm
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/distributed/eplb
-  - tests/distributed/test_eplb_algo.py
-  - tests/distributed/test_eplb_utils.py
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'cd tests &&
-      pytest -v -s distributed/test_eplb_algo.py'
@@ -5,10 +5,6 @@ steps:
 - label: vLLM IR Tests
  timeout_in_minutes: 30
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -5,10 +5,6 @@ steps:
 - label: LoRA Runtime + Utils
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 24+
  no_plugin: true
  working_dir: "."
  env:
@@ -38,10 +34,6 @@ steps:
 - label: LoRA Fused/MoE Kernels
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -62,10 +54,6 @@ steps:
 - label: LoRA Punica Kernels
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -86,10 +74,6 @@ steps:
 - label: LoRA Punica FP8/XPU Ops
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -110,10 +94,6 @@ steps:
 - label: LoRA Models
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 2+
-    mem: 24+
  no_plugin: true
  working_dir: "."
  env:
@@ -128,19 +108,15 @@ steps:
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
      'cd tests &&
      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
+      (pytest -v -s lora/test_mixtral.py --deselect="tests/lora/test_mixtral.py::test_mixtral_lora[4]" || true) &&
      pytest -v -s lora/test_quant_model.py --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model0]" --deselect="tests/lora/test_quant_model.py::test_quant_model_lora[model1]" --deselect="tests/lora/test_quant_model.py::test_quant_model_tp_equality[model0]" &&
      pytest -v -s lora/test_transformers_model.py &&
      pytest -v -s lora/test_chatglm3_tp.py &&
-      pytest -v -s lora/test_llama_tp.py::test_llama_lora &&
      pytest -s -v lora/test_minicpmv_tp.py'

 - label: LoRA Multimodal
  timeout_in_minutes: 45
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -5,10 +5,6 @@ steps:
 - label: V1 Core + KV + Metrics
  timeout_in_minutes: 30
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -35,54 +31,6 @@ steps:
 - label: V1 Sample + Logits
  timeout_in_minutes: 30
  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-    - vllm/config/
-    - vllm/distributed/
-    - vllm/engine/
-    - vllm/inputs/
-    - vllm/logger.py
-    - vllm/model_executor/
-    - vllm/platforms/
-    - vllm/sampling_params.py
-    - vllm/transformers_utils/
-    - vllm/utils/
-    - vllm/v1/
-    - tests/v1/sample
-    - tests/v1/logits_processors
-    - tests/v1/test_oracle.py
-    - tests/v1/test_request.py
-    - tests/v1/test_outputs.py
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install lm_eval[api]>=0.4.12 &&
-      export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
-      cd tests &&
-      pytest -v -s v1/logits_processors --ignore=v1/logits_processors/test_custom_online.py --ignore=v1/logits_processors/test_custom_offline.py &&
-      pytest -v -s v1/test_oracle.py &&
-      pytest -v -s v1/test_request.py &&
-      pytest -v -s v1/test_outputs.py &&
-      pytest -v -s v1/sample/test_topk_topp_sampler.py &&
-      pytest -v -s v1/sample/test_logprobs.py &&
-      pytest -v -s v1/sample/test_logprobs_e2e.py'
-
- label: XPU CPU Offload
-  timeout_in_minutes: 60
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
  no_plugin: true
  working_dir: "."
  env:
@@ -91,124 +39,17 @@ steps:
    VLLM_TEST_DEVICE: "xpu"
  source_file_dependencies:
    - vllm/
-    - vllm/v1/kv_offload/
-    - vllm/v1/kv_connector/
-    - tests/v1/kv_offload/
-    - tests/v1/kv_connector/unit/test_offloading_connector.py
+    - tests/v1/sample
+    - tests/v1/logits_processors
+    - tests/v1/test_oracle.py
+    - tests/v1/test_request.py
+    - tests/v1/test_outputs.py
  commands:
    - >-
      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
      'export VLLM_WORKER_MULTIPROC_METHOD=spawn &&
      cd tests &&
-      pytest -v -s v1/kv_offload &&
-      pytest -v -s v1/kv_connector/unit/test_offloading_connector.py'
-
- label: Regression
-  key: regression
-  timeout_in_minutes: 30
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/config/
-  - vllm/distributed/
-  - vllm/engine/
-  - vllm/inputs/
-  - vllm/model_executor/
-  - vllm/multimodal/
-  - vllm/platforms/
-  - vllm/sampling_params.py
-  - vllm/transformers_utils/
-  - vllm/utils/
-  - vllm/v1/
-  - tests/test_regression
-  commands:
-  - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install modelscope &&
-      cd tests &&
-      pytest -v -s test_regression.py'
-
- label: Metrics, Tracing (2 GPUs)
-  key: metrics-tracing-2-gpus
-  timeout_in_minutes: 30
-  num_devices: 2
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 2+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/config/
-  - vllm/distributed/
-  - vllm/engine/
-  - vllm/inputs/
-  - vllm/model_executor/
-  - vllm/multimodal/
-  - vllm/platforms/
-  - vllm/sampling_params.py
-  - vllm/tracing/
-  - vllm/transformers_utils/
-  - vllm/utils/
-  - vllm/v1/
-  - tests/v1/tracing
-  commands:
-  - >-
-    bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-    'pip install opentelemetry-sdk\>=1.26.0 opentelemetry-api\>=1.26.0 opentelemetry-exporter-otlp\>=1.26.0 opentelemetry-semantic-conventions-ai\>=0.4.1 &&
-    cd tests &&
-    pytest -v -s v1/tracing'
-
- label: Async Engine, Inputs, Utils, Worker
-  key: async-engine-inputs-utils-worker
-  timeout_in_minutes: 30
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 24+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/assets/
-  - vllm/config/
-  - vllm/distributed/
-  - vllm/engine/
-  - vllm/inputs/
-  - vllm/model_executor/
-  - vllm/multimodal/
-  - vllm/platforms/
-  - vllm/sampling_params.py
-  - vllm/tokenizers/
-  - vllm/transformers_utils/
-  - vllm/utils/
-  - vllm/v1/
-  - tests/detokenizer
-  - tests/multimodal
-  - tests/utils_
-  commands:
-  - >-
-    bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-    'cd tests &&
-    pip install av &&
-    pytest -v -s detokenizer &&
-    pytest -v -s -m "not cpu_test" ./multimodal &&
-    pytest -v -s utils_ --ignore=utils_/test_mem_utils.py'
+      pytest -v -s v1/logits_processors --ignore=v1/logits_processors/test_custom_online.py --ignore=v1/logits_processors/test_custom_offline.py &&
+      pytest -v -s v1/test_oracle.py &&
+      pytest -v -s v1/test_request.py &&
+      pytest -v -s v1/test_outputs.py'
@@ -1,62 +0,0 @@
-group: Model Runner V2 Intel
-depends_on:
-  - image-build-xpu
-steps:
- label: Model Runner V2 Core Tests (Intel)
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 2+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-    - vllm/v1/worker/gpu/
-    - vllm/v1/worker/gpu_worker.py
-    - vllm/v1/core/sched/
-    - vllm/v1/attention/
-    - tests/v1/engine/test_llm_engine.py
-    - tests/v1/e2e/
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'export VLLM_USE_V2_MODEL_RUNNER=1 &&
-      cd tests &&
-      pytest -v -s v1/engine/test_llm_engine.py -k "not test_engine_metrics" &&
-      ENFORCE_EAGER=1 pytest -v -s v1/e2e/general/test_async_scheduling.py -k "not ngram" &&
-      pytest -v -s v1/e2e/general/test_min_tokens.py'
-
- label: Model Runner V2 Examples (Intel)
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 24+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-    - vllm/v1/worker/gpu/
-    - vllm/v1/core/sched/
-    - vllm/v1/worker/gpu_worker.py
-    - examples/basic/offline_inference/
-    - examples/generate/multimodal/
-    - examples/features/
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'export VLLM_USE_V2_MODEL_RUNNER=1 &&
-      cd examples &&
-      python3 basic/offline_inference/chat.py &&
-      python3 basic/offline_inference/generate.py --model facebook/opt-125m &&
-      python3 generate/multimodal/vision_language_offline.py --seed 0 &&
-      python3 features/automatic_prefix_caching/prefix_caching_offline.py'
@@ -1,27 +0,0 @@
-group: Models - Distributed
-depends_on: 
-  - image-build-xpu
-steps:
- label: Distributed Model Tests (2 GPUs)
-  key: distributed-model-tests-2-gpus
-  timeout_in_minutes: 50
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 2+
-    mem: 24+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/model_executor/model_loader/sharded_state_loader.py
-  - vllm/model_executor/models/
-  - tests/model_executor/model_loader/test_sharded_state_loader.py
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'cd tests &&
-      pytest -v -s model_executor/model_loader/test_sharded_state_loader.py -m "not slow_test"'
@@ -1,129 +0,0 @@
-group: Models - Multimodal
-depends_on:
-  - image-build-xpu
-steps:
- label: "Multi-Modal Models (Standard) 1: qwen2"
-  key: multi-modal-models-standard-1-qwen2
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/models/multimodal
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av git+https://github.com/TIGER-AI-Lab/Mantis.git &&
-      cd tests &&
-      pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen2" &&
-      pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model'
-
- label: "Multi-Modal Models (Standard) 2: qwen3 + gemma"
-  key: multi-modal-models-standard-2-qwen3-gemma
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/models/multimodal
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install git+https://github.com/TIGER-AI-Lab/Mantis.git &&
-      cd tests &&
-      pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model'
-
- label: "Multi-Modal Models (Standard) 3: llava + qwen2_vl"
-  key: multi-modal-models-standard-3-llava-qwen2-vl
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 24+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/models/multimodal
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install git+https://github.com/TIGER-AI-Lab/Mantis.git &&
-      cd tests &&
-      pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "not qwen2 and not qwen3 and not gemma" &&
-      pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model'
-
- label: "Multi-Modal Models (Standard) 4: other + whisper"
-  key: multi-modal-models-standard-4-other-whisper
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/models/multimodal
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av git+https://github.com/TIGER-AI-Lab/Mantis.git &&
-      cd tests &&
-      pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py  --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing'
-
- label: Multi-Modal Processor # 44min
-  key: multi-modal-processor
-  timeout_in_minutes: 45
-  device: intel_gpu
-  agent_tags:
-    label: production
-    gpu: 1+
-    mem: 16+
-  no_plugin: true
-  working_dir: "."
-  env:
-    REGISTRY: "public.ecr.aws/q9t5s3a7"
-    REPO: "vllm-ci-test-repo"
-    VLLM_TEST_DEVICE: "xpu"
-  source_file_dependencies:
-  - vllm/
-  - tests/models/multimodal
-  - tests/models/registry.py
-  commands:
-    - >-
-      bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-      'pip install av matplotlib ftfy git+https://github.com/TIGER-AI-Lab/Mantis.git &&
-      pip install open-clip-torch --no-deps &&
-      cd tests &&
-      pytest -v -s models/multimodal/processing/test_tensor_schema.py
-      --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --shard-id=$$BUILDKITE_PARALLEL_JOB'
-  parallelism: 4
@@ -19,10 +19,6 @@ steps:
      - image-build-xpu
    timeout_in_minutes: 30
    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 2+
-      mem: 24+
    no_plugin: true
    env:
      REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -44,19 +40,13 @@ steps:
        python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192 &&
        python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 &&
        python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel &&
-        python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192 &&
-        VLLM_XPU_FUSED_MOE_USE_REF=1 python3 examples/basic/offline_inference/generate.py --model Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 --enforce-eager -tp 2 --max-model-len 8192 &&
-        python3 examples/basic/offline_inference/generate.py --model INCModel/Qwen3-30B-A3B-Instruct-2507-MXFP4-LLMC --enforce-eager -tp 2 --max-model-len 8192
+        python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192
        '
  - label: "XPU V1 test"
    depends_on:
      - image-build-xpu
    timeout_in_minutes: 30
    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 1+
-      mem: 16+
    no_plugin: true
    env:
      REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -68,24 +58,19 @@ steps:
      - >-
        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
        'cd tests &&
-        bash v1/kv_connector/nixl_integration/run_xpu_disagg_accuracy_test.sh &&
        pytest -v -s v1/core --ignore=v1/core/test_reset_prefix_cache_e2e.py --ignore=v1/core/test_scheduler_e2e.py &&
        pytest -v -s v1/engine --ignore=v1/engine/test_output_processor.py &&
        pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py -k "not test_topk_only and not test_topp_only and not test_topk_and_topp" &&
        pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py &&
        pytest -v -s v1/structured_output &&
        pytest -v -s v1/test_serial_utils.py &&
-        pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py &&
+        pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py &&
        pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py'
  - label: "XPU server test"
    depends_on:
      - image-build-xpu
    timeout_in_minutes: 30
    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 1+
-      mem: 16+
    no_plugin: true
    env:
      REGISTRY: "public.ecr.aws/q9t5s3a7"
@@ -98,26 +83,5 @@ steps:
        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
        'pip install av &&
        cd tests &&
-        pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py &&
+        pytest -v -s entrypoints/openai/chat_completion/test_audio_in_video.py &&
        pytest -v -s benchmarks/test_serve_cli.py'
-  - label: "XPU quantization test"
-    depends_on:
-      - image-build-xpu
-    timeout_in_minutes: 30
-    device: intel_gpu
-    agent_tags:
-      label: production
-      gpu: 1+
-      mem: 16+
-    no_plugin: true
-    env:
-      REGISTRY: "public.ecr.aws/q9t5s3a7"
-      REPO: "vllm-ci-test-repo"
-    source_file_dependencies:
-      - vllm/
-      - .buildkite/intel_jobs/test-intel.yaml 
-    commands:
-      - >-
-        bash .buildkite/scripts/hardware_ci/run-intel-test.sh
-        'cd tests &&
-        pytest -v -s quantization/test_auto_round.py'
@@ -6,7 +6,9 @@ tasks:
    value: 0.7142
  - name: "exact_match,flexible-extract"
    value: 0.4579
-moe_backend: "flashinfer_cutlass"
+env_vars:
+  VLLM_USE_FLASHINFER_MOE_FP8: "1"
+  VLLM_FLASHINFER_MOE_BACKEND: "throughput"
 limit: 1319
 num_fewshot: 5
 max_model_len: 262144
@@ -68,10 +68,6 @@ def launch_lm_eval(eval_config, tp_size):
    if current_platform.is_rocm() and "Nemotron-3" in eval_config["model_name"]:
        model_args += "attention_backend=TRITON_ATTN"

-    moe_backend = eval_config.get("moe_backend", None)
-    if moe_backend is not None:
-        model_args += f"moe_backend={moe_backend},"
-
    env_vars = eval_config.get("env_vars", None)
    with scoped_env_vars(env_vars):
        results = lm_eval.simple_evaluate(
@@ -2,6 +2,7 @@
    {
        "test_name": "latency_llama8B_tp1",
        "environment_variables": {
+            "VLLM_RPC_TIMEOUT": 100000,
            "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
            "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
            "VLLM_CPU_KVCACHE_SPACE": 40
@@ -2,6 +2,7 @@
    {
        "test_name": "latency_llama8B_tp2",
        "environment_variables": {
+            "VLLM_RPC_TIMEOUT": 100000,
 	    "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
 	    "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
 	    "VLLM_CPU_SGL_KERNEL": 1,
@@ -13,6 +13,7 @@
      200
    ],
    "server_environment_variables": {
+      "VLLM_RPC_TIMEOUT": 100000,
      "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
      "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
      "VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
    ],
    "max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
    "server_environment_variables": {
+      "VLLM_RPC_TIMEOUT": 100000,
      "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120
    },
    "server_parameters": {
@@ -9,6 +9,7 @@
      128
    ],
    "server_environment_variables": {
+      "VLLM_RPC_TIMEOUT": 100000,
      "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
      "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
      "VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
    ],
    "max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
    "server_environment_variables": {
+      "VLLM_RPC_TIMEOUT": 100000,
      "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
      "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
      "VLLM_CPU_SGL_KERNEL": 1,
@@ -5,6 +5,7 @@
    ],
    "max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
    "server_environment_variables": {
+      "VLLM_RPC_TIMEOUT": 100000,
      "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
      "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
      "VLLM_CPU_SGL_KERNEL": 1,
@@ -2,6 +2,7 @@
    {
        "test_name": "throughput_llama8B_tp1",
        "environment_variables": {
+            "VLLM_RPC_TIMEOUT": 100000,
            "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
            "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
            "VLLM_CPU_KVCACHE_SPACE": 40
@@ -2,6 +2,7 @@
    {
        "test_name": "throughput_llama8B_tp2",
        "environment_variables": {
+            "VLLM_RPC_TIMEOUT": 100000,
 	    "VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
 	    "VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
 	    "VLLM_CPU_SGL_KERNEL": 1,
@@ -1,25 +1,12 @@
 # CUDA architecture lists — following PyTorch RELEASE.md
 # (https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
 # SM86 included for broader Ampere coverage; SM89 for marlin fp8 support
-# These requested arches are filtered by CMake's CUDA_SUPPORTED_ARCHS before
-# per-kernel arch selection. Do not add +PTX here: top-level +PTX is stripped
-# during that filtering, so kernels that need PTX must request it locally.
 env:
-  # for CUDA >=13, sm_100+ targets have family specifiers (see CMakeLists.txt)
-  # so targets like 10.3 and 12.1 are automatically supported with this list
-  CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
-  # aarch64-only targets: Orin (8.7), Thor (11.0, CUDA 13+)
-  CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0"
-
-  # for CUDA <13, we need to specify all needed targets
-  # some targets (10.3, 12.1) are skipped to limit the wheel size (< 500MB)
-  # please use CUDA 13 wheels or compile yourself on these new devices
+  CUDA_ARCH_X86: "7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"
+  # aarch64 only architectures: 8.7 for Orin, 11.0 for Thor (since CUDA 13)
+  CUDA_ARCH_AARCH64: "8.0 8.7 8.9 9.0 10.0 11.0 12.0+PTX"
  CUDA_ARCH_X86_CU129: "7.5 8.0 8.6 8.9 9.0 10.0 12.0"
  CUDA_ARCH_AARCH64_CU129: "8.0 8.7 8.9 9.0 10.0 12.0"
-  
-  # pre-built mooncake wheels
-  # the manylinux_2_35 wheel has compatibility issue on Ubuntu 24.04
-  # so we use different wheels for the time being
  MOONCAKE_WHEEL_AARCH64_2_35: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_aarch64.whl"
  MOONCAKE_WHEEL_AARCH64_2_39: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_39_aarch64.whl"
  MOONCAKE_WHEEL_X86_64: "https://vllm-wheels.s3.amazonaws.com/mooncake/mooncake_transfer_engine-0.3.10.post2-0da9dfea3-cp312-cp312-manylinux_2_35_x86_64.whl"
@@ -750,7 +737,7 @@ steps:
      - "bash tools/vllm-rocm/generate-rocm-wheels-root-index.sh"
    env:
      S3_BUCKET: "vllm-wheels"
-      VARIANT: "rocm723"
+      VARIANT: "rocm722"

  # ROCm Job 6: Build ROCm Release Docker Image
  - label: ":docker: Build release image - x86_64 - ROCm"
@@ -859,6 +846,7 @@ steps:
        allow_failure: true
      - step: build-cpu-release-image-arm64
        allow_failure: true
+    if: build.env("NIGHTLY") != "1"

  - label: "Publish release images to DockerHub"
    depends_on:
@@ -13,8 +13,5 @@ INPUT_FILE="$1"
 # Strip timestamps
 sed -i 's/^\[[0-9]\{4\}-[0-9]\{2\}-[0-9]\{2\}T[0-9]\{2\}:[0-9]\{2\}:[0-9]\{2\}Z\] //' "$INPUT_FILE"

-# Strip Buildkite inline timestamp markers (ESC _bk;t=<ms> BEL)
-sed -i 's/\x1B_bk;t=[0-9]*\x07//g' "$INPUT_FILE"
-
 # Strip colorization
 sed -i -r 's/\x1B\[[0-9;]*[mK]//g' "$INPUT_FILE"
@@ -1,178 +1,55 @@
 #!/bin/bash
-# Fetch vLLM Buildkite CI logs (public; no login required).
+# Usage: ./ci-fetch-log.sh <buildkite_job_url> [output_file]
+#        ./ci-fetch-log.sh <build_number> <job_uuid> [output_file]
 #
-# Usage:
-#   ci-fetch-log.sh [--soft|--all] --pr [<PR>]  failed jobs in the PR's latest
-#                                               build (current branch if omitted)
-#   ci-fetch-log.sh [--soft|--all] <build_url>  failed jobs in that build
-#   ci-fetch-log.sh <job_url> [output]          one job; both #<job_uuid> and
-#                                               ?sid=<id> URL forms work
-#   ci-fetch-log.sh <build> <job_uuid> [output]
+# Downloads the raw log for a Buildkite job from the public, unauthenticated
+# /organizations/<org>/pipelines/<pipeline>/builds/<n>/jobs/<uuid>/download
+# endpoint, then strips ANSI/timestamps via ci-clean-log.sh.
 #
-# --soft also fetches soft-failed jobs; --all fetches every finished job.
-# Saves each log as ci-<build>-<job-name>.log (ANSI/timestamps stripped) and
-# prints "<file>\t<job name>" per job. [output] is single-job only; "-"
-# streams to stdout. Existing files are kept; CI_FETCH_LOG_FORCE=1 refetches.
+# Find <build_number> and <job_uuid> via:
+#   gh pr checks <PR> --repo vllm-project/vllm
+# Each failing row's URL is .../builds/<build_number>#<job_uuid>.

 set -euo pipefail

 ORG="vllm"
 PIPELINE="ci"
-UA="vllm-ci-fetch-log"
-UUID_RE='[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}'

 usage() {
-    sed -n '2,15p' "$0" | sed 's/^# \{0,1\}//'
+    echo "Usage: $0 <buildkite_job_url> [output_file]"
+    echo "       $0 <build_number> <job_uuid> [output_file]"
    exit 1
 }

-die() {
-    echo "$1" >&2
-    exit 1
-}
+if [ $# -lt 1 ]; then usage; fi

-BUILD="" JOB="" SID="" OUT=""
-SCOPE="failed"
-
-while :; do
-    case "${1:-}" in
-    --soft) SCOPE="soft" ;;
-    --all) SCOPE="all" ;;
-    *) break ;;
-    esac
-    shift
-done
-
-case "${1:-}" in
--pr)
-    PR="${2:-}"
-    # gh pr checks exits non-zero when checks are failing; that is the
-    # expected case here.
-    URL=$(gh pr checks ${PR:+"$PR"} --repo vllm-project/vllm 2>/dev/null |
-        grep -oE "https://buildkite.com/${ORG}/${PIPELINE}/builds/[0-9]+" |
-        sort -t/ -k7 -n | tail -1 || true)
-    [ -n "$URL" ] || die "No Buildkite build found via: gh pr checks ${PR:-<current branch>}"
-    BUILD="${URL##*/}"
-    ;;
-https://*)
+if [[ "$1" == https://* ]]; then
    BUILD=$(echo "$1" | sed -nE 's#.*/builds/([0-9]+).*#\1#p')
-    JOB=$(echo "$1" | grep -oE "#${UUID_RE}" | head -n 1 | cut -c2- || true)
-    SID=$(echo "$1" | grep -oE "[?&]sid=${UUID_RE}" | head -n 1 | sed 's/.*sid=//' || true)
-    OUT="${2:-}"
-    [ -n "$BUILD" ] || die "Could not parse build number from: $1"
-    ;;
-[0-9]*)
-    [ $# -ge 2 ] || usage
+    JOB=$(echo "$1" | grep -oE '[0-9a-f]{8}-[0-9a-f-]+' | head -n 1)
+    OUT="${2:-ci-${BUILD}-${JOB:0:8}.log}"
+else
+    if [ $# -lt 2 ]; then usage; fi
    BUILD="$1"
    JOB="$2"
-    OUT="${3:-}"
-    ;;
-*)
+    OUT="${3:-ci-${BUILD}-${JOB:0:8}.log}"
+fi
+
+if [ -z "$BUILD" ] || [ -z "$JOB" ]; then
+    echo "Could not parse build number or job UUID from: $1" >&2
    usage
-    ;;
-esac
+fi

 COOKIES=$(mktemp)
-JOBS_TSV=$(mktemp)
-trap 'rm -f "$COOKIES" "$JOBS_TSV"' EXIT
+trap 'rm -f "$COOKIES"' EXIT

-# Buildkite issues a session cookie on first hit; later requests need it.
-curl -fsSL -c "$COOKIES" -A "$UA" \
+# Buildkite issues a session cookie on first hit; subsequent /download needs it.
+curl -fsSL -c "$COOKIES" -A "vllm-ci-fetch-log" \
    "https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}" -o /dev/null

-# The build's job list (id, step uuid, state, name) is served as JSON from
-# the user-facing /data/jobs endpoint. Flatten it to TSV for easy filtering:
-#   job_id  step_uuid  failed  soft_failed  finished  slug  name
-curl -fsSL -b "$COOKIES" -A "$UA" \
-    "https://buildkite.com/${ORG}/${PIPELINE}/builds/${BUILD}/data/jobs" |
-    python3 -c '
-import json, re, sys
+curl -fsSL -b "$COOKIES" -A "vllm-ci-fetch-log" \
+    "https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/${JOB}/download" \
+    -o "$OUT"

-data = json.load(sys.stdin)
-if data.get("has_next_page"):
-    print("warning: job list is paginated; some jobs not shown", file=sys.stderr)
-for r in data["records"]:
-    if r.get("type") != "script":
-        continue
-    name = (r.get("name") or "").replace("\t", " ").replace("\n", " ")
-    slug = re.sub(r"[^a-z0-9]+", "-", name.lower()).strip("-")[:60]
-    print("\t".join([
-        r["id"],
-        r.get("step_uuid") or "",
-        str(r.get("passed") is False),
-        str(bool(r.get("soft_failed"))),
-        str(bool(r.get("finished_at"))),
-        slug,
-        name,
-    ]))
-' >"$JOBS_TSV" || die "Could not list jobs for build ${BUILD}"
+bash "$(dirname "$0")/ci-clean-log.sh" "$OUT"

-if [ -n "$SID" ] && [ -z "$JOB" ]; then
-    # The ?sid= in builds/<N>/list URLs is the *step* uuid, not the job uuid.
-    JOB=$(awk -F'\t' -v s="$SID" '$1 == s || $2 == s {print $1; exit}' "$JOBS_TSV")
-    [ -n "$JOB" ] || die "No job matching sid=${SID} in build ${BUILD}"
-fi
-
-fetch_job() { # <job_uuid> <output_file>
-    curl -fsSL -b "$COOKIES" -A "$UA" \
-        "https://buildkite.com/organizations/${ORG}/pipelines/${PIPELINE}/builds/${BUILD}/jobs/$1/download" \
-        -o "$2"
-    bash "$(dirname "$0")/ci-clean-log.sh" "$2"
-}
-
-if [ -n "$JOB" ]; then
-    # Single-job mode.
-    NAME=$(awk -F'\t' -v j="$JOB" '$1 == j {print $7; exit}' "$JOBS_TSV")
-    SLUG=$(awk -F'\t' -v j="$JOB" '$1 == j {print $6; exit}' "$JOBS_TSV")
-    [ -n "$OUT" ] || OUT="ci-${BUILD}-${SLUG:-${JOB:0:13}}.log"
-    if [ "$OUT" = "-" ]; then
-        TMP=$(mktemp)
-        fetch_job "$JOB" "$TMP"
-        cat "$TMP"
-        rm -f "$TMP"
-        exit 0
-    fi
-    if [ -e "$OUT" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
-        die "Refusing to overwrite existing ${OUT} (set CI_FETCH_LOG_FORCE=1 or pass an output path)."
-    fi
-    fetch_job "$JOB" "$OUT"
-    printf '%s\t%s\n' "$OUT" "${NAME:-$JOB}"
-    exit 0
-fi
-
-# Build-wide mode: fetch finished jobs matching $SCOPE.
-[ -z "$OUT" ] || die "[output_file] is only valid when fetching a single job."
-
-case "$SCOPE" in
-failed) FILTER='$3 == "True" && $4 == "False" && $5 == "True"' ;;
-soft) FILTER='$3 == "True" && $5 == "True"' ;;
-all) FILTER='$5 == "True"' ;;
-esac
-
-if [ "$SCOPE" = "failed" ]; then
-    SOFT=$(awk -F'\t' '$3 == "True" && $4 == "True"' "$JOBS_TSV" | wc -l)
-    [ "$SOFT" -eq 0 ] || echo "Skipping ${SOFT} soft-failed job(s); use --soft to include them." >&2
-fi
-
-FOUND=0
-EMITTED=" "
-while IFS=$'\t' read -r job_id _ _ _ _ slug name; do
-    FOUND=$((FOUND + 1))
-    out="ci-${BUILD}-${slug:-${job_id:0:13}}.log"
-    # Retries share a name with the original job; disambiguate by uuid.
-    case "$EMITTED" in
-    *" $out "*) out="ci-${BUILD}-${slug:-job}-${job_id:0:13}.log" ;;
-    esac
-    EMITTED="${EMITTED}${out} "
-    if [ -e "$out" ] && [ -z "${CI_FETCH_LOG_FORCE:-}" ]; then
-        echo "Keeping existing ${out} (set CI_FETCH_LOG_FORCE=1 to refetch)." >&2
-    elif ! fetch_job "$job_id" "$out"; then
-        echo "Failed to download log for job ${job_id} (${name})." >&2
-        continue
-    fi
-    printf '%s\t%s\n' "$out" "$name"
-done < <(awk -F'\t' "$FILTER" "$JOBS_TSV")
-
-if [ "$FOUND" -eq 0 ]; then
-    echo "No matching jobs in build ${BUILD} (scope: ${SCOPE})." >&2
-fi
+echo "$OUT"
@@ -0,0 +1,208 @@
+#!/usr/bin/env python3
+"""Aggregate per-step coverage JSON files into a test-selection mapping.
+
+Downloads all coverage_*.json artifacts from the current Buildkite build,
+then produces two output files:
+
+1. coverage_map.json — inverted index: {source_file: [step_keys]}
+   Used by the pipeline generator to determine which steps to trigger.
+
+2. step_coverage.json — forward index: {step_key: [source_files]}
+   Useful for debugging and understanding test coverage.
+
+Usage:
+    # Run as a Buildkite step at the end of nightly CI
+    python3 .buildkite/scripts/coverage/aggregate-coverage.py
+
+    # Or locally with downloaded artifacts
+    python3 .buildkite/scripts/coverage/aggregate-coverage.py --local-dir ./artifacts/
+"""
+
+import argparse
+import json
+import os
+import subprocess
+import sys
+import tempfile
+from collections import defaultdict
+from pathlib import Path
+
+
+def download_artifacts(dest_dir: str) -> list[str]:
+    """Download all coverage_*.json artifacts from the current build."""
+    try:
+        subprocess.run(
+            ["buildkite-agent", "artifact", "download", "coverage_*.json", dest_dir],
+            check=True,
+            capture_output=True,
+            text=True,
+        )
+    except FileNotFoundError:
+        print("buildkite-agent not found, skipping download", file=sys.stderr)
+        return []
+    except subprocess.CalledProcessError as e:
+        print(f"Artifact download failed: {e.stderr}", file=sys.stderr)
+        return []
+
+    return list(Path(dest_dir).glob("coverage_*.json"))
+
+
+def load_coverage_files(files: list[Path]) -> dict[str, list[str]]:
+    """Load coverage JSON files and extract source files per step.
+
+    Returns: {step_key: [source_files]}
+    """
+    step_coverage = {}
+
+    for filepath in files:
+        filename = filepath.name
+        # coverage_<step_key>.json -> step_key
+        step_key = filename.removeprefix("coverage_").removesuffix(".json")
+
+        try:
+            with open(filepath) as f:
+                data = json.load(f)
+        except (json.JSONDecodeError, OSError) as e:
+            print(f"Warning: skipping {filename}: {e}", file=sys.stderr)
+            continue
+
+        source_files = []
+        for fpath, fdata in data.get("files", {}).items():
+            # Skip files with zero executed lines — coverage.py reports
+            # all files in the source tree, not just those actually run.
+            # Supports both full format (summary.covered_lines) and
+            # stripped format (covered_lines directly).
+            covered = fdata.get("covered_lines") or fdata.get("summary", {}).get("covered_lines", 0)
+            if covered == 0:
+                continue
+            # If function-level data is available, skip import-only files
+            # (files where only module-level code ran but no named functions
+            # were actually called).
+            funcs_called = fdata.get("functions_called")
+            if funcs_called is not None and funcs_called == 0:
+                continue
+            # Normalize paths to be relative to the vllm package root.
+            # coverage.py may report absolute paths or paths relative to
+            # the installed package location. We only care about files
+            # under the vllm/ directory.
+            normalized = _normalize_path(fpath)
+            if normalized:
+                source_files.append(normalized)
+
+        if source_files:
+            step_coverage[step_key] = sorted(set(source_files))
+            print(f"  {step_key}: {len(source_files)} source files")
+
+    return step_coverage
+
+
+def _normalize_path(path: str) -> str | None:
+    """Normalize a coverage path to a vllm-relative path.
+
+    Returns None for paths outside the vllm package (tests, third-party, etc).
+    """
+    # Strip common prefixes from installed package paths
+    markers = ["/site-packages/", "/dist-packages/", "/vllm-workspace/src/"]
+    for marker in markers:
+        idx = path.find(marker)
+        if idx != -1:
+            path = path[idx + len(marker):]
+            break
+
+    # Also handle paths that are already relative
+    if path.startswith("vllm/"):
+        return path
+
+    # Handle absolute paths that contain /vllm/
+    idx = path.find("/vllm/")
+    if idx != -1:
+        return path[idx + 1:]
+
+    return None
+
+
+def build_inverted_index(
+    step_coverage: dict[str, list[str]],
+) -> dict[str, list[str]]:
+    """Build {source_file: [step_keys]} from {step_key: [source_files]}."""
+    inverted = defaultdict(list)
+    for step_key, source_files in step_coverage.items():
+        for src_file in source_files:
+            inverted[src_file].append(step_key)
+
+    # Sort step lists for deterministic output
+    return {k: sorted(v) for k, v in sorted(inverted.items())}
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--local-dir",
+        help="Directory containing coverage_*.json files (skip artifact download)",
+    )
+    parser.add_argument(
+        "--output-dir",
+        default=".",
+        help="Directory to write output files (default: cwd)",
+    )
+    args = parser.parse_args()
+
+    if args.local_dir:
+        artifact_dir = args.local_dir
+        files = list(Path(artifact_dir).glob("coverage_*.json"))
+    else:
+        artifact_dir = tempfile.mkdtemp(prefix="coverage_artifacts_")
+        files = download_artifacts(artifact_dir)
+
+    if not files:
+        print("No coverage files found. Nothing to aggregate.")
+        sys.exit(0)
+
+    print(f"Found {len(files)} coverage files:")
+
+    # Build the forward index: step -> source files
+    step_coverage = load_coverage_files(files)
+
+    if not step_coverage:
+        print("No valid coverage data found.")
+        sys.exit(0)
+
+    # Build the inverted index: source file -> steps
+    coverage_map = build_inverted_index(step_coverage)
+
+    # Write outputs
+    output_dir = Path(args.output_dir)
+    output_dir.mkdir(parents=True, exist_ok=True)
+
+    step_coverage_path = output_dir / "step_coverage.json"
+    with open(step_coverage_path, "w") as f:
+        json.dump(step_coverage, f, indent=2)
+    print(f"\nWrote {step_coverage_path} ({len(step_coverage)} steps)")
+
+    coverage_map_path = output_dir / "coverage_map.json"
+    with open(coverage_map_path, "w") as f:
+        json.dump(coverage_map, f, indent=2)
+    print(f"Wrote {coverage_map_path} ({len(coverage_map)} source files)")
+
+    # Summary stats
+    total_files = len(coverage_map)
+    total_mappings = sum(len(v) for v in coverage_map.values())
+    print(f"\nSummary: {total_files} source files mapped to "
+          f"{len(step_coverage)} steps ({total_mappings} total mappings)")
+
+    # Upload aggregated files as artifacts
+    for output_file in [step_coverage_path, coverage_map_path]:
+        try:
+            subprocess.run(
+                ["buildkite-agent", "artifact", "upload", str(output_file)],
+                check=True,
+                capture_output=True,
+                text=True,
+            )
+            print(f"Uploaded {output_file}")
+        except (FileNotFoundError, subprocess.CalledProcessError):
+            pass  # Not in Buildkite or upload failed — that's fine for local runs
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,42 @@
+#!/bin/bash
+# Upload coverage data for the current Buildkite step.
+# Called automatically at the end of each step when COLLECT_COVERAGE=1.
+#
+# Expects:
+#   - .coverage.${BUILDKITE_STEP_KEY} data file from coverage run --append
+#   - BUILDKITE_STEP_KEY, BUILDKITE_BUILD_NUMBER env vars
+#
+# Produces:
+#   - coverage_${BUILDKITE_STEP_KEY}.json uploaded as a Buildkite artifact
+
+set -euo pipefail
+
+STEP_KEY="${BUILDKITE_STEP_KEY:-unknown}"
+DATA_FILE=".coverage.${STEP_KEY}"
+OUTPUT_JSON="coverage_${STEP_KEY}.json"
+
+if [ ! -f "$DATA_FILE" ]; then
+    echo "~~~ No coverage data file found ($DATA_FILE), skipping upload"
+    exit 0
+fi
+
+echo "~~~ :bar_chart: Exporting coverage data for step: ${STEP_KEY}"
+
+coverage json \
+    --data-file="$DATA_FILE" \
+    -o "$OUTPUT_JSON" \
+    --omit='*/tests/*,*/test_*,*/__pycache__/*' \
+    2>&1 || {
+        echo "Warning: coverage json export failed, skipping"
+        exit 0
+    }
+
+FILE_COUNT=$(python3 -c "import json; d=json.load(open('$OUTPUT_JSON')); print(len(d.get('files', {})))" 2>/dev/null || echo "?")
+echo "Coverage captured ${FILE_COUNT} source files for step ${STEP_KEY}"
+
+buildkite-agent artifact upload "$OUTPUT_JSON" 2>&1 || {
+    echo "Warning: artifact upload failed"
+    exit 0
+}
+
+echo "Uploaded $OUTPUT_JSON"
@@ -28,18 +28,32 @@
 ###############################################################################
 set -o pipefail

-# Export Python path for commands that run directly on the host. Containerized
-# tests set this to /vllm-workspace below so spawned Python processes do not
-# depend on their current working directory.
-export PYTHONPATH="${PYTHONPATH:-..}"
+# Export Python path
+export PYTHONPATH=".."

 ###############################################################################
 # Helper Functions
 ###############################################################################

-report_docker_usage() {
-  echo "--- Docker usage"
-  docker system df || true
+cleanup_docker() {
+  # Get Docker's root directory
+  docker_root=$(docker info -f '{{.DockerRootDir}}')
+  if [ -z "$docker_root" ]; then
+    echo "Failed to determine Docker root directory."
+    exit 1
+  fi
+  echo "Docker root directory: $docker_root"
+
+  disk_usage=$(df "$docker_root" | tail -1 | awk '{print $5}' | sed 's/%//')
+  threshold=70
+  if [ "$disk_usage" -gt "$threshold" ]; then
+    echo "Disk usage is above $threshold%. Cleaning up Docker images and volumes..."
+    docker image prune -f
+    docker volume prune -f && docker system prune --force --filter "until=72h" --all
+    echo "Docker images and volumes cleanup completed."
+  else
+    echo "Disk usage is below $threshold%. No cleanup needed."
+  fi
 }

 cleanup_network() {
@@ -54,108 +68,6 @@ cleanup_network() {
  fi
 }

-prepare_artifact_image() {
-  if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" != "1" ]]; then
-    return 1
-  fi
-  if ! command -v buildkite-agent >/dev/null 2>&1; then
-    echo "buildkite-agent not found; cannot download ROCm wheel artifact"
-    return 1
-  fi
-
-  local artifact_glob="${VLLM_CI_ARTIFACT_GLOB:-artifacts/vllm-rocm-install/vllm-rocm-install.tar.gz}"
-  local archive=""
-  local metadata_file=""
-  local base_image="${VLLM_CI_BASE_IMAGE:-rocm/vllm-dev:ci_base}"
-  local artifact_image=""
-  local artifact_key=""
-  local base_digest=""
-  local wheel_dir=""
-  local context_dir=""
-  local workspace_dir=""
-
-  artifact_work_dir=$(mktemp -d -t vllm-rocm-artifact.XXXXXX)
-  wheel_dir="${artifact_work_dir}/wheels"
-  context_dir="${artifact_work_dir}/context"
-  workspace_dir="${context_dir}/workspace"
-  mkdir -p "${wheel_dir}" "${context_dir}/wheels" "${workspace_dir}"
-
-  echo "--- Downloading ROCm wheel artifact"
-  if ! buildkite-agent artifact download "${artifact_glob}" "${artifact_work_dir}"; then
-    echo "Failed to download ${artifact_glob}"
-    return 1
-  fi
-  buildkite-agent artifact download \
-    "artifacts/vllm-rocm-install/ci-base-image.txt" \
-    "${artifact_work_dir}" >/dev/null 2>&1 || true
-
-  archive=$(find "${artifact_work_dir}" -name "vllm-rocm-install.tar.gz" -type f | head -1)
-  if [[ -z "${archive}" || ! -f "${archive}" ]]; then
-    echo "ROCm wheel artifact archive was not found"
-    return 1
-  fi
-
-  metadata_file=$(find "${artifact_work_dir}" -name "ci-base-image.txt" -type f | head -1)
-  if [[ -n "${metadata_file}" && -s "${metadata_file}" ]]; then
-    base_image=$(tr -d '[:space:]' < "${metadata_file}")
-  fi
-
-  echo "--- Preparing local ROCm test image"
-  echo "Base image: ${base_image}"
-  docker pull "${base_image}" || return 1
-  base_digest=$(
-    docker image inspect \
-      --format='{{if .RepoDigests}}{{index .RepoDigests 0}}{{else}}{{.Id}}{{end}}' \
-      "${base_image}" 2>/dev/null || printf '%s' "${base_image}"
-  )
-
-  artifact_key=$(
-    {
-      printf 'base-image:%s\n' "${base_digest}"
-      sha256sum "${archive}"
-    } | sha256sum | cut -c1-24
-  )
-  artifact_image="rocm/vllm-ci-artifact:${artifact_key}"
-
-  if docker image inspect "${artifact_image}" >/dev/null 2>&1; then
-    echo "Using existing local ROCm artifact image: ${artifact_image}"
-    image_name="${artifact_image}"
-    return 0
-  fi
-
-  tar -xzf "${archive}" -C "${wheel_dir}" || return 1
-  if ! ls "${wheel_dir}"/*.whl >/dev/null 2>&1; then
-    echo "ROCm wheel artifact did not contain a wheel"
-    return 1
-  fi
-  if [[ ! -d "${wheel_dir}/tests" ]]; then
-    echo "ROCm wheel artifact did not contain the test workspace"
-    return 1
-  fi
-
-  cp "${wheel_dir}"/*.whl "${context_dir}/wheels/" || return 1
-  tar -C "${wheel_dir}" --exclude='*.whl' -cf - . \
-    | tar -C "${workspace_dir}" -xf - || return 1
-  cat > "${context_dir}/Dockerfile" <<'EOF'
-ARG BASE_IMAGE
-FROM ${BASE_IMAGE}
-COPY wheels/ /tmp/vllm-wheels/
-COPY workspace/ /vllm-workspace/
-RUN python3 -m pip install --no-deps --force-reinstall /tmp/vllm-wheels/*.whl \
-    && rm -rf /tmp/vllm-wheels
-WORKDIR /vllm-workspace
-EOF
-
-  echo "--- Building local ROCm test image"
-  docker build \
-    --pull=false \
-    --build-arg "BASE_IMAGE=${base_image}" \
-    -t "${artifact_image}" \
-    "${context_dir}" || return 1
-  image_name="${artifact_image}"
-  return 0
-}
-
 is_multi_node() {
  local cmds="$1"
  # Primary signal: NUM_NODES environment variable set by the pipeline
@@ -342,50 +254,20 @@ re_quote_pytest_markers() {
 echo "--- ROCm info"
 rocminfo

-# --- Docker status ---
-report_docker_usage
+# --- Docker housekeeping ---
+cleanup_docker

 # --- Pull test image ---
 echo "--- Pulling container"
-image_name="${VLLM_CI_FALLBACK_IMAGE:-rocm/vllm-ci:${BUILDKITE_COMMIT:-local}}"
-artifact_work_dir=""
+image_name="rocm/vllm-ci:${BUILDKITE_COMMIT}"
 container_name="rocm_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head -c 10; echo)"
+docker pull "${image_name}"

 remove_docker_container() {
-  if docker container inspect "${container_name}" >/dev/null 2>&1; then
-    docker rm -f "${container_name}" || true
-  fi
-  if [[ "${VLLM_CI_REMOVE_TEST_IMAGE:-0}" == "1" ]]; then
-    docker image rm -f "${image_name}" || true
-  else
-    # Keep images by default so later jobs on the same AMD node can reuse layers.
-    echo "Keeping ROCm test image locally: ${image_name}"
-  fi
-  if [[ -n "${artifact_work_dir}" ]]; then
-    rm -rf "${artifact_work_dir}"
-  fi
+  docker rm -f "${container_name}" || docker image rm -f "${image_name}" || true
 }
 trap remove_docker_container EXIT

-# python_only_compile.sh runs `python setup.py develop` and needs the full repo tree
-# under /vllm-workspace (Dockerfile.rocm test stage: mkdir src && mv vllm).
-# The ROCm wheel artifact tarball only ships a thin tree (tests, etc.), so
-# artifact images cannot satisfy that test — use the full rocm/vllm-ci image.
-_cmd_probe="${VLLM_TEST_COMMANDS:-}"
-if [[ -z "${_cmd_probe}" ]]; then
-  _cmd_probe="$*"
-fi
-if [[ "${VLLM_CI_USE_ARTIFACTS:-0}" == "1" && "${_cmd_probe}" == *python_only_compile.sh* ]]; then
-  echo "INFO: disabling VLLM_CI_USE_ARTIFACTS for python_only_compile (requires full /vllm-workspace tree)"
-  export VLLM_CI_USE_ARTIFACTS=0
-fi
-unset -v _cmd_probe
-
-if ! prepare_artifact_image; then
-  echo "Using full ROCm CI image: ${image_name}"
-  docker pull "${image_name}" || exit 1
-fi
-
 # --- Prepare commands ---
 echo "--- Running container"

@@ -393,14 +275,6 @@ HF_CACHE="$(realpath ~)/huggingface"
 mkdir -p "${HF_CACHE}"
 HF_MOUNT="/root/.cache/huggingface"

-# Hugging Face Hub defaults to 10s request/download timeouts, while the ROCm
-# CI image currently raises downloads to 60s. AMD model-test jobs routinely
-# start from a cold or partially-populated shared cache, and the 60s read cap
-# has still timed out before pytest reached the vLLM behavior under test.
-# Keep the CI default explicit and overridable from the Buildkite environment.
-: "${HF_HUB_DOWNLOAD_TIMEOUT:=300}"
-: "${HF_HUB_ETAG_TIMEOUT:=60}"
-
 # ---- Command source selection ----
 # Prefer VLLM_TEST_COMMANDS (preserves all inner quoting intact).
 # Fall back to $* for backward compatibility, but warn that inner
@@ -440,32 +314,7 @@ fi

 echo "Final commands: $commands"

-# The ROCm test image often ships /vllm-workspace without .git (artifact tarball unpack).
-# tests/standalone_tests/python_only_compile.sh uses merge-base(HEAD, origin/main) for
-# wheels.vllm.ai; compute on the agent (full git checkout) and pass into the container.
-vllm_standalone_merge_base=""
-checkout="${BUILDKITE_BUILD_CHECKOUT_PATH:-}"
-if [[ -z "${checkout}" || ! -d "${checkout}" ]]; then
-  checkout="."
-fi
-if git -C "${checkout}" rev-parse --is-inside-work-tree >/dev/null 2>&1; then
-  vllm_standalone_merge_base="$(
-    git -C "${checkout}" merge-base HEAD origin/main 2>/dev/null || true
-  )"
-fi
-if [[ -z "${vllm_standalone_merge_base}" ]]; then
-  vllm_standalone_merge_base="${BUILDKITE_COMMIT:-}"
-fi
-echo "INFO: passing VLLM_STANDALONE_MERGE_BASE into container: ${vllm_standalone_merge_base}"
-
-MYPYTHONPATH="/vllm-workspace"
-
-container_job_id="${BUILDKITE_JOB_ID:-${BUILDKITE_PARALLEL_JOB:-0}}"
-container_job_id="${container_job_id//[^A-Za-z0-9_.-]/_}"
-container_job_id_short="${container_job_id:0:8}"
-CONTAINER_TMPDIR="/tmp/vllm-${container_job_id_short}"
-CONTAINER_CACHE_ROOT="/tmp/vllm-buildkite-${container_job_id}/cache"
-CONTAINER_PREFLIGHT="mkdir -p \"\$TMPDIR\" \"\$TORCHINDUCTOR_CACHE_DIR\" \"\$TRITON_CACHE_DIR\" \"\$VLLM_CACHE_ROOT\" \"\$XDG_CACHE_HOME\" && python -c \"import encodings, importlib.metadata as im, importlib.util as iu; [im.version(d) for d in ('transformers', 'torch', 'ray', 'sympy', 'markupsafe', 'vllm')]; missing=[m for m in ('torch.utils.model_zoo', 'transformers.models.nomic_bert', 'ray.dag', 'sympy.physics', 'markupsafe._speedups') if iu.find_spec(m) is None]; assert not missing, missing\""
+MYPYTHONPATH=".."

 # Verify GPU access
 render_gid=$(getent group render | cut -d: -f3)
@@ -542,8 +391,6 @@ else
    --group-add "$render_gid" \
    --rm \
    -e HF_TOKEN \
-    -e "HF_HUB_DOWNLOAD_TIMEOUT=${HF_HUB_DOWNLOAD_TIMEOUT}" \
-    -e "HF_HUB_ETAG_TIMEOUT=${HF_HUB_ETAG_TIMEOUT}" \
    -e AWS_ACCESS_KEY_ID \
    -e AWS_SECRET_ACCESS_KEY \
    -e BUILDKITE_PARALLEL_JOB \
@@ -551,16 +398,10 @@ else
    -v "${HF_CACHE}:${HF_MOUNT}" \
    -e "HF_HOME=${HF_MOUNT}" \
    -e "PYTHONPATH=${MYPYTHONPATH}" \
-    -e "TMPDIR=${CONTAINER_TMPDIR}/tmp" \
-    -e "TORCHINDUCTOR_CACHE_DIR=${CONTAINER_CACHE_ROOT}/torchinductor" \
-    -e "TRITON_CACHE_DIR=${CONTAINER_CACHE_ROOT}/triton" \
-    -e "VLLM_CACHE_ROOT=${CONTAINER_CACHE_ROOT}/vllm" \
-    -e "XDG_CACHE_HOME=${CONTAINER_CACHE_ROOT}/xdg" \
    -e "PYTORCH_ROCM_ARCH=" \
-    -e "VLLM_STANDALONE_MERGE_BASE=${vllm_standalone_merge_base}" \
    --name "${container_name}" \
    "${image_name}" \
-    /bin/bash -c "${CONTAINER_PREFLIGHT} && ${commands}"
+    /bin/bash -c "${commands}"

  exit_code=$?
  handle_pytest_exit "$exit_code"
@@ -8,7 +8,7 @@ set -ex
 CORE_RANGE=${CORE_RANGE:-0-31}
 OMP_CORE_RANGE=${OMP_CORE_RANGE:-0-31}

-export CMAKE_BUILD_PARALLEL_LEVEL=32
+export CMAKE_BUILD_PARALLEL_LEVEL=16

 # Setup cleanup
 remove_docker_container() {
@@ -37,8 +37,7 @@ function cpu_tests() {
    pytest -x -v -s tests/kernels/test_onednn.py
    pytest -x -v -s tests/kernels/attention/test_cpu_attn.py
    pytest -x -v -s tests/kernels/core/test_cpu_activation.py
-    pytest -x -v -s tests/kernels/moe/test_cpu_fused_moe.py
-    pytest -x -v -s tests/kernels/mamba/cpu/test_cpu_gdn_ops.py"
+    pytest -x -v -s tests/kernels/moe/test_moe.py -k test_cpu_fused_moe_basic"

  # skip tests requiring model downloads if HF_TOKEN is not set
  # due to rate-limits
@@ -7,49 +7,10 @@ set -euox pipefail
 # allow to bind to different cores
 CORE_RANGE=${CORE_RANGE:-48-95}
 NUMA_NODE=${NUMA_NODE:-1}
-AGENT_SLOT=${AGENT_SLOT:-}
-IMAGE_NAME="cpu-test-${NUMA_NODE}${AGENT_SLOT:+-${AGENT_SLOT}}"
+IMAGE_NAME="cpu-test-$NUMA_NODE"
 TIMEOUT_VAL=$1
 TEST_COMMAND=$2

-# Disk hygiene knobs. Reclaim space only once the Docker root filesystem crosses
-# DISK_USAGE_THRESHOLD percent, and cap the shared BuildKit cache at
-# BUILDKIT_CACHE_MAX so subsequent builds keep reusing the hottest layers.
-DISK_USAGE_THRESHOLD=${DISK_USAGE_THRESHOLD:-70}
-BUILDKIT_CACHE_MAX=${BUILDKIT_CACHE_MAX:-80GB}
-
-# Reclaim disk only when the host is under pressure. We trim (not purge) the
-# shared BuildKit cache so cross-job/cross-agent reuse stays intact, and only
-# touch dangling images; other agents' uniquely tagged images are left alone.
-prune_if_disk_pressure() {
-    local docker_root disk_usage
-    docker_root=$(docker info -f '{{.DockerRootDir}}' 2>/dev/null || true)
-    if [ -z "$docker_root" ]; then
-        return 0
-    fi
-    disk_usage=$(df "$docker_root" 2>/dev/null | tail -1 | awk '{print $5}' | tr -d '%')
-    if [ "${disk_usage:-0}" -gt "$DISK_USAGE_THRESHOLD" ]; then
-        echo "--- :broom: Disk usage ${disk_usage}% exceeds ${DISK_USAGE_THRESHOLD}%, reclaiming space"
-        docker image prune -f || true
-        docker builder prune -f --keep-storage="$BUILDKIT_CACHE_MAX" || true
-    else
-        echo "Disk usage ${disk_usage:-unknown}% within ${DISK_USAGE_THRESHOLD}% threshold; skipping prune"
-    fi
-}
-
-# Always drop this agent's image once the job ends (the default builder never
-# uses it as a cache source, so removing it costs no rebuild speed), then
-# reclaim space if needed. Guard every docker call with `|| true` so the trap
-# never overrides the test's exit code.
-cleanup() {
-    docker image rm -f "$IMAGE_NAME" || true
-    prune_if_disk_pressure
-}
-trap cleanup EXIT
-
-# Free space up front so a nearly-full host doesn't fail the build.
-prune_if_disk_pressure
-
 # building the docker image
 echo "--- :docker: Building Docker image"
 docker build --progress plain --tag "$IMAGE_NAME" --target vllm-test -f docker/Dockerfile.cpu .
@@ -1,51 +0,0 @@
-#!/bin/bash
-
-set -euo pipefail
-
-test_suite="${1:-}"
-
-if [[ -z "${test_suite}" ]]; then
-  echo "Usage: $0 <example|v1|server>" >&2
-  exit 1
-fi
-
-case "${test_suite}" in
-  example)
-    pip install tblib==3.1.0
-
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 -O3 -cc.cudagraph_mode=NONE
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager -tp 2 --distributed-executor-backend mp
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --attention-backend=TRITON_ATTN
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --quantization fp8
-    python3 examples/basic/offline_inference/generate.py --model facebook/opt-125m --block-size 64 --enforce-eager --kv-cache-dtype fp8
-    python3 examples/basic/offline_inference/generate.py --model nvidia/Llama-3.1-8B-Instruct-FP8 --block-size 64 --enforce-eager --quantization modelopt --kv-cache-dtype fp8 --attention-backend TRITON_ATTN --max-model-len 4096
-    python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --block-size 64 --enforce-eager --max-model-len 8192
-    python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2
-    python3 examples/basic/offline_inference/generate.py --model ibm-research/PowerMoE-3b --block-size 64 --enforce-eager -tp 2 --enable-expert-parallel
-    python3 examples/basic/offline_inference/generate.py --model superjob/Qwen3-4B-Instruct-2507-GPTQ-Int4 --max-model-len 8192
-    ;;
-  v1)
-    cd tests
-
-    pytest -v -s v1/core --ignore=v1/core/test_reset_prefix_cache_e2e.py --ignore=v1/core/test_scheduler_e2e.py
-    pytest -v -s v1/engine --ignore=v1/engine/test_output_processor.py
-    pytest -v -s v1/sample --ignore=v1/sample/test_logprobs.py --ignore=v1/sample/test_logprobs_e2e.py -k "not test_topk_only and not test_topp_only and not test_topk_and_topp"
-    pytest -v -s v1/worker --ignore=v1/worker/test_gpu_model_runner.py --ignore=v1/worker/test_worker_memory_snapshot.py
-    pytest -v -s v1/structured_output
-    pytest -v -s v1/test_serial_utils.py
-    pytest -v -s v1/spec_decode --ignore=v1/spec_decode/test_max_len.py --ignore=v1/spec_decode/test_speculators_eagle3.py --ignore=v1/spec_decode/test_acceptance_length.py --ignore=v1/spec_decode/test_speculators_correctness.py
-    pytest -v -s v1/kv_connector/unit --ignore=v1/kv_connector/unit/test_multi_connector.py --ignore=v1/kv_connector/unit/test_example_connector.py --ignore=v1/kv_connector/unit/test_lmcache_integration.py --ignore=v1/kv_connector/unit/test_hf3fs_client.py --ignore=v1/kv_connector/unit/test_hf3fs_connector.py --ignore=v1/kv_connector/unit/test_hf3fs_metadata_server.py --ignore=v1/kv_connector/unit/test_offloading_connector.py
-    ;;
-  server)
-    pip install av
-    cd tests
-
-    pytest -v -s entrypoints/multimodal/openai/chat_completion/test_audio_in_video.py
-    pytest -v -s benchmarks/test_serve_cli.py
-    ;;
-  *)
-    echo "Unknown Intel test suite: ${test_suite}" >&2
-    exit 1
-    ;;
-esac
@@ -243,10 +243,8 @@ container_name="xpu_${BUILDKITE_COMMIT}_$(tr -dc A-Za-z0-9 < /dev/urandom | head

 # ---- Command source selection ----
 commands=""
-commands_source=""
 if [[ -n "${VLLM_TEST_COMMANDS:-}" ]]; then
  commands="${VLLM_TEST_COMMANDS}"
-  commands_source="env"
  echo "Commands sourced from VLLM_TEST_COMMANDS (quoting preserved)"
 elif [[ $# -gt 0 ]]; then
  all_yaml=true
@@ -305,12 +303,8 @@ if [[ -z "$commands" ]]; then
 fi

 echo "Raw commands: $commands"
-if [[ "$commands_source" != "env" ]]; then
-  commands=$(re_quote_pytest_markers "$commands")
-  echo "After re-quoting: $commands"
-else
-  echo "Skipping re-quoting for VLLM_TEST_COMMANDS input"
-fi
+commands=$(re_quote_pytest_markers "$commands")
+echo "After re-quoting: $commands"
 commands=$(apply_intel_test_overrides "$commands")
 echo "Final commands: $commands"

@@ -330,6 +324,23 @@ IMAGE="${IMAGE_TAG_XPU:-${image_name}}"

 echo "Using image: ${IMAGE}"

+if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
+  echo "Image already exists locally, skipping pull"
+else
+  echo "Image not found locally, waiting for lock..."
+
+  flock /tmp/docker-pull.lock bash -c "
+    if docker image inspect '${IMAGE}' >/dev/null 2>&1; then
+      echo 'Image already pulled by another runner'
+    else
+      echo 'Pulling image...'
+      timeout 900 docker pull '${IMAGE}'
+    fi
+  "
+
+  echo "Pull step completed"
+fi
+
 remove_docker_container() {
  docker rm -f "${container_name}" || true
 }
@@ -346,12 +357,9 @@ export HF_TOKEN ZE_AFFINITY_MASK

 {
  flock 9
-  if docker image inspect "${IMAGE}" >/dev/null 2>&1; then
-    echo "Image already exists locally, skipping pull"
-  else
-    echo "Image not found locally, pulling image..."
+  if ! docker image inspect "${IMAGE}" >/dev/null 2>&1; then
+    echo 'Image missing before container creation, pulling again...'
    timeout 900 docker pull "${IMAGE}"
-    echo "Pull step completed"
  fi

  docker create \
@@ -364,12 +372,10 @@ export HF_TOKEN ZE_AFFINITY_MASK
    --entrypoint='' \
    -e HF_TOKEN \
    -e ZE_AFFINITY_MASK \
-    -e BUILDKITE_PARALLEL_JOB \
-    -e BUILDKITE_PARALLEL_JOB_COUNT \
    -e CMDS \
    --name "${container_name}" \
    "${IMAGE}" \
-    bash -c 'set -e; source /opt/intel/oneapi/setvars.sh --force; source /opt/intel/oneapi/ccl/2021.15/env/vars.sh --force; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
+    bash -c 'set -e; echo "ZE_AFFINITY_MASK is ${ZE_AFFINITY_MASK:-}"; eval "$CMDS"' \
    >/dev/null
 } 9>/tmp/docker-pull.lock

@@ -1,44 +0,0 @@
-#!/bin/bash
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-
-set -euo pipefail
-
-if python3 -c "import torch; raise SystemExit(0 if torch.version.hip is not None else 1)"; then
-    uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-    exit 0
-fi
-
-REQUIREMENTS_FILE="${KV_CONNECTORS_REQUIREMENTS:-/vllm-workspace/requirements/kv_connectors.txt}"
-
-uv pip install --system -r "${REQUIREMENTS_FILE}"
-
-NIXL_METADATA=$(python3 - <<'PY'
-import importlib.metadata as metadata
-
-import torch
-
-cuda_version = torch.version.cuda
-if cuda_version is None:
-    raise SystemExit("torch.version.cuda is not set")
-
-print(cuda_version.split(".", 1)[0], metadata.version("nixl"))
-PY
-)
-read -r CUDA_MAJOR NIXL_VERSION <<<"${NIXL_METADATA}"
-
-# nixl>=1.1.0 can install multiple CUDA wheel variants. Keep only the variant
-# matching this CI image so nixl_ep_cpp links against the available libcudart.
-uv pip uninstall --system nixl-cu12 nixl-cu13 2>/dev/null || true
-uv pip install --system --no-deps "nixl-cu${CUDA_MAJOR}==${NIXL_VERSION}"
-
-python3 - <<'PY'
-import importlib.metadata as metadata
-
-for package_name in ("nixl", "nixl-cu12", "nixl-cu13"):
-    try:
-        version = metadata.version(package_name)
-    except metadata.PackageNotFoundError:
-        version = "not installed"
-    print(f"{package_name}: {version}")
-PY
@@ -90,16 +90,6 @@ install_cargo_sort() {
  cargo binstall --no-confirm cargo-sort
 }

-install_cargo_deny() {
-  if command -v cargo-deny >/dev/null 2>&1; then
-    return
-  fi
-
-  log_section "Installing cargo-deny"
-  install_cargo_binstall
-  cargo binstall --no-confirm cargo-deny
-}
-
 install_cargo_nextest() {
  if command -v cargo-nextest >/dev/null 2>&1; then
    return
@@ -120,39 +110,8 @@ install_uv() {
    | env UV_INSTALL_DIR="$CARGO_HOME/bin" sh
 }

-setup_pyo3_python() {
-  local python_version="${PYO3_PYTHON_VERSION:-3.12}"
-
-  log_section "Installing Python ${python_version} for PyO3 tests"
-  uv python install "$python_version"
-  PYO3_PYTHON="$(uv python find \
-    --managed-python \
-    --no-project \
-    --resolve-links \
-    "$python_version")"
-  export PYO3_PYTHON
-
-  local python_libdir
-  python_libdir="$("$PYO3_PYTHON" - <<'PY'
-import pathlib
-import sysconfig
-
-libdir = pathlib.Path(sysconfig.get_config_var("LIBDIR"))
-ldlibrary = sysconfig.get_config_var("LDLIBRARY")
-assert sysconfig.get_config_var("Py_ENABLE_SHARED") == 1
-assert ldlibrary
-assert (libdir / ldlibrary).exists(), libdir / ldlibrary
-print(libdir)
-PY
-)"
-
-  export LD_LIBRARY_PATH="${python_libdir}:${LD_LIBRARY_PATH:-}"
-  export LIBRARY_PATH="${python_libdir}:${LIBRARY_PATH:-}"
-}
-
 run_style_clippy() {
  install_cargo_sort
-  install_cargo_deny

  log_section "Checking Rust formatting"
  cargo fmt --manifest-path rust/Cargo.toml --all -- --check
@@ -160,13 +119,6 @@ run_style_clippy() {
  log_section "Checking Cargo.toml ordering"
  cargo sort --workspace --check rust

-  log_section "Checking Rust dependency bans"
-  cargo deny \
-    --manifest-path rust/Cargo.toml \
-    check \
-    --config rust/deny.toml \
-    bans
-
  log_section "Running clippy"
  cargo clippy \
    --manifest-path rust/Cargo.toml \
@@ -180,7 +132,6 @@ run_style_clippy() {

 run_tests() {
  install_uv
-  setup_pyo3_python
  install_cargo_nextest

  log_section "Running cargo nextest"
@@ -49,7 +49,6 @@ for BACK in "${BACKENDS[@]}"; do
    --data-parallel-size 2 \
    --enable-expert-parallel \
    --enable-eplb \
-    --eplb-config '{"use_async": false}' \
    --trust-remote-code \
    --max-model-len 2048 \
    --all2all-backend "$BACK" \
@@ -33,14 +33,6 @@ if [[ -n "${ATTENTION_BACKEND:-}" ]]; then
  EXTRA_ARGS+=(--attention-backend "${ATTENTION_BACKEND}")
 fi

-# ROCm: run eager to avoid intermittent HIP-graph decode corruption.
-# See https://github.com/ROCm/clr/issues/279
-# TODO(aarushjain29): Revert after TheRock 7.14
-if command -v rocm-smi &> /dev/null || command -v amd-smi &> /dev/null || [[ -d /opt/rocm ]] || [[ -n "${ROCM_PATH:-}" ]]; then
-  echo "ROCm platform detected: adding --enforce-eager to avoid HIP-graph decode corruption"
-  EXTRA_ARGS+=(--enforce-eager)
-fi
-
 cleanup() {
  if [[ -n "${SERVER_PID:-}" ]] && kill -0 "${SERVER_PID}" 2>/dev/null; then
    kill "${SERVER_PID}" 2>/dev/null || true
@@ -48,7 +48,7 @@ for BACK in "${BACKENDS[@]}"; do
    --enforce-eager \
    --enable-eplb \
    --all2all-backend "$BACK" \
-    --eplb-config '{"window_size":10, "step_interval":100, "num_redundant_experts":0, "log_balancedness":true, "use_async":false}' \
+    --eplb-config '{"window_size":10, "step_interval":100, "num_redundant_experts":0, "log_balancedness":true}' \
    --tensor-parallel-size "${TENSOR_PARALLEL_SIZE}" \
    --data-parallel-size "${DATA_PARALLEL_SIZE}" \
    --enable-expert-parallel \
@@ -70,7 +70,7 @@ echo "============================================"
 # ---- Install bfcl-eval if missing ----
 if ! python3 -c "import bfcl_eval" 2>/dev/null; then
    echo "Installing bfcl-eval..."
-    uv pip install "bfcl-eval>=2025.10.20.1,<2026"
+    pip install "bfcl-eval>=2025.10.20.1,<2026"
 fi

 # ---- Cleanup handler ----
@@ -100,7 +100,7 @@ SERVE_ARGS=(
    --tensor-parallel-size "$TP_SIZE"
    --max-model-len "$MAX_MODEL_LEN"
    --enforce-eager
-    --enable-prefix-caching
+    --no-enable-prefix-caching
 )

 # Append reasoning parser if specified
@@ -2,8 +2,8 @@ group: Attention
 depends_on: 
  - image-build
 steps:
- label: V1 attention (H100-MI300)
-  key: v1-attention-h100-mi300
+- label: V1 attention (H100)
+  key: v1-attention-h100
  timeout_in_minutes: 30
  device: h100
  source_file_dependencies:
@@ -13,20 +13,6 @@ steps:
    - tests/v1/attention
  commands:
    - pytest -v -s v1/attention
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 70
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/config/attention.py
-      - vllm/model_executor/layers/attention
-      - vllm/v1/attention
-      - tests/v1/attention
-      - vllm/_aiter_ops.py
-      - vllm/envs.py
-      - vllm/platforms/rocm.py

 - label: V1 attention (B200)
  key: v1-attention-b200
@@ -10,15 +10,9 @@ steps:
  - vllm/
  - tests/basic_correctness/test_basic_correctness
  - tests/basic_correctness/test_cpu_offload
-  - tests/basic_correctness/test_mem.py
+  - tests/basic_correctness/test_cumem.py
  commands:
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s basic_correctness/test_mem.py
+  - pytest -v -s basic_correctness/test_cumem.py
  - pytest -v -s basic_correctness/test_basic_correctness.py
  - pytest -v -s basic_correctness/test_cpu_offload.py
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 50
-      depends_on:
-      - image-build-amd
@@ -11,11 +11,6 @@ steps:
  - tests/benchmarks/
  commands:
  - pytest -v -s benchmarks/
-  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd

 - label: Attention Benchmarks Smoke Test (B200)
  key: attention-benchmarks-smoke-test-b200
@@ -28,4 +23,4 @@ steps:
  - benchmarks/attention_benchmarks/
  - vllm/v1/attention/
  commands:
-  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k"
+  - python3 benchmarks/attention_benchmarks/benchmark.py --backends flash flashinfer --batch-specs "8q1s1k" --repeats 1 --warmup-iters 1
@@ -2,8 +2,8 @@ group: CUDA
 depends_on: 
  - image-build
 steps:
- label: Platform Tests
-  key: platform-tests
+- label: Platform Tests (CUDA)
+  key: platform-tests-cuda
  timeout_in_minutes: 15
  device: h200_18gb
  source_file_dependencies:
@@ -11,22 +11,8 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-  mirror:
-    amd:
-      device: mi300_4
-      timeout_in_minutes: 110
-      depends_on:
-        - image-build-amd
-      source_file_dependencies:
-        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-        - tests/v1/kv_connector/nixl_integration/
-        - vllm/platforms/rocm.py
-      commands:
-        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-        - ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-
 - label: Distributed FlashInfer NixlConnector PD accuracy (4 GPUs)
  key: distributed-flashinfer-nixlconnector-pd-accuracy-4-gpus
  timeout_in_minutes: 30
@@ -36,7 +22,7 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - FLASHINFER=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh

 - label: DP EP Distributed NixlConnector PD accuracy tests (4 GPUs)
@@ -48,21 +34,8 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - DP_EP=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-  mirror:
-    amd:
-      device: mi300_4
-      timeout_in_minutes: 50
-      depends_on:
-        - image-build-amd
-      source_file_dependencies:
-        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-        - tests/v1/kv_connector/nixl_integration/
-        - vllm/platforms/rocm.py
-      commands:
-        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-        - DP_EP=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh

 - label: CrossLayer KV layout Distributed NixlConnector PD accuracy tests (4 GPUs)
  key: crosslayer-kv-layout-distributed-nixlconnector-pd-accuracy-tests-4-gpus
@@ -73,21 +46,8 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - CROSS_LAYERS_BLOCKS=True bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-  mirror:
-    amd:
-      device: mi300_4
-      timeout_in_minutes: 110
-      depends_on:
-        - image-build-amd
-      source_file_dependencies:
-        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-        - tests/v1/kv_connector/nixl_integration/
-        - vllm/platforms/rocm.py
-      commands:
-        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-        - CROSS_LAYERS_BLOCKS=True ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh

 - label: Hybrid SSM NixlConnector PD accuracy tests (4 GPUs)
  key: hybrid-ssm-nixlconnector-pd-accuracy-tests-4-gpus
@@ -98,35 +58,8 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - HYBRID_SSM=1 bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-  mirror:
-    amd:
-      device: mi300_4
-      timeout_in_minutes: 60
-      depends_on:
-        - image-build-amd
-      source_file_dependencies:
-        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-        - tests/v1/kv_connector/nixl_integration/
-        - vllm/platforms/rocm.py
-      commands:
-        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-        - HYBRID_SSM=1 ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_accuracy_test.sh
-
- label: Hybrid SSM NixlConnector PD prefix cache test (2 GPUs)
-  key: hybrid-ssm-nixlconnector-pd-prefix-cache-2-gpus
-  timeout_in_minutes: 25
-  working_dir: "/vllm-workspace/tests"
-  num_devices: 2
-  source_file_dependencies:
-    - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-    - vllm/v1/core/sched/
-    - vllm/v1/core/kv_cache_coordinator.py
-    - tests/v1/kv_connector/nixl_integration/
-  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
-    - bash v1/kv_connector/nixl_integration/run_mamba_prefix_cache_test.sh

 - label: MultiConnector (Nixl+Offloading) PD accuracy (2 GPUs)
  key: multiconnector-nixl-offloading-pd-accuracy-2-gpus
@@ -140,7 +73,7 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/offloading/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - bash v1/kv_connector/nixl_integration/run_multi_connector_accuracy_test.sh

 - label: NixlConnector PD + Spec Decode acceptance (2 GPUs)
@@ -154,22 +87,8 @@ steps:
    - vllm/v1/worker/kv_connector_model_runner_mixin.py
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh
-  mirror:
-    amd:
-      device: mi300_2
-      timeout_in_minutes: 60
-      depends_on:
-        - image-build-amd
-      source_file_dependencies:
-        - vllm/distributed/kv_transfer/kv_connector/v1/nixl/
-        - vllm/v1/worker/kv_connector_model_runner_mixin.py
-        - tests/v1/kv_connector/nixl_integration/
-        - vllm/platforms/rocm.py
-      commands:
-        - uv pip install --system -r /vllm-workspace/requirements/kv_connectors_rocm.txt
-        - ATTENTION_BACKEND=TRITON_ATTN bash v1/kv_connector/nixl_integration/config_sweep_spec_decode_test.sh

 - label: MultiConnector (Nixl+Offloading) PD edge cases (2 GPUs)
  key: multiconnector-nixl-offloading-pd-edge-cases-2-gpus
@@ -183,5 +102,5 @@ steps:
    - vllm/distributed/kv_transfer/kv_connector/v1/offloading/
    - tests/v1/kv_connector/nixl_integration/
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
-    - bash v1/kv_connector/nixl_integration/run_multi_connector_edge_case_test.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
+    - bash v1/kv_connector/nixl_integration/run_multi_connector_edge_case_test.sh
@@ -37,21 +37,6 @@ steps:
  - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_eagle_dp.py
  - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py
  - DP_SIZE=2 pytest -v -s entrypoints/openai/test_multi_api_servers.py
-  mirror:
-    amd:
-      device: mi300_2
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/distributed/
-      - vllm/engine/
-      - vllm/executor/
-      - vllm/worker/worker_base.py
-      - vllm/v1/engine/
-      - vllm/v1/worker/
-      - tests/v1/distributed
-      - tests/entrypoints/openai/test_multi_api_servers.py
-      - vllm/platforms/rocm.py

 - label: Distributed Compile + RPC Tests (2 GPUs)
  key: distributed-compile-rpc-tests-2-gpus
@@ -174,8 +159,8 @@ steps:
  # test multi-node TP with multiproc executor (simulated on single node)
  - pytest -v -s distributed/test_multiproc_executor.py::test_multiproc_executor_multi_node

- label: Distributed Tests (8xH100)
-  key: distributed-tests-8xh100
+- label: Distributed Tests (8 GPUs)(H100)
+  key: distributed-tests-8-gpus-h100
  timeout_in_minutes: 10
  device: h100
  num_devices: 8
@@ -195,8 +180,8 @@ steps:
  # test with torchrun tp=2 and dp=4 with ep
  - torchrun --nproc-per-node=8 ../examples/features/torchrun/torchrun_dp_example_offline.py --tp-size=2 --pp-size=1 --dp-size=4 --enable-ep

- label: Distributed Tests (4xA100)
-  key: distributed-tests-4xa100
+- label: Distributed Tests (4 GPUs)(A100)
+  key: distributed-tests-4-gpus-a100
  device: a100
  optional: true
  num_devices: 4
@@ -210,8 +195,8 @@ steps:
  - TARGET_TEST_SUITE=A100 pytest basic_correctness/ -v -s -m 'distributed(num_gpus=2)'
  - pytest -v -s -x lora/test_mixtral.py

- label: Distributed Tests (2xH100-2xMI300)
-  key: distributed-tests-2xh100-2xmi300
+- label: Distributed Tests (2 GPUs)(H100)
+  key: distributed-tests-2-gpus-h100
  timeout_in_minutes: 15
  device: h100
  optional: true
@@ -225,8 +210,8 @@ steps:
    - VLLM_ALLOW_INSECURE_SERIALIZATION=1 pytest -v -s tests/distributed/test_weight_transfer.py
    - pytest -v -s tests/distributed/test_packed_tensor.py

- label: Distributed Tests (2xB200)
-  key: distributed-tests-2xb200
+- label: Distributed Tests (2 GPUs)(B200)
+  key: distributed-tests-2-gpus-b200
  device: b200-k8s
  optional: true
  working_dir: "/vllm-workspace/"
@@ -2,8 +2,8 @@ group: E2E Integration
 depends_on: 
  - image-build
 steps:
- label: DeepSeek V2-Lite Sync EPLB Accuracy (4xH100)
-  key: deepseek-v2-lite-sync-eplb-accuracy-4xh100
+- label: DeepSeek V2-Lite Accuracy
+  key: deepseek-v2-lite-accuracy
  timeout_in_minutes: 60
  device: h100
  optional: true
@@ -12,8 +12,8 @@ steps:
  commands:
  - bash .buildkite/scripts/scheduled_integration_test/deepseek_v2_lite_ep_eplb.sh 0.25 200 8010

- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (4xH100)
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-4xh100
+- label: Qwen3-30B-A3B-FP8-block Accuracy
+  key: qwen3-30b-a3b-fp8-block-accuracy
  timeout_in_minutes: 60
  device: h100
  optional: true
@@ -22,8 +22,8 @@ steps:
  commands:
  - bash .buildkite/scripts/scheduled_integration_test/qwen30b_a3b_fp8_block_ep_eplb.sh 0.8 200 8020

- label: Qwen3-30B-A3B-FP8-block Sync EPLB Accuracy (2xB200)
-  key: qwen3-30b-a3b-fp8-block-sync-eplb-accuracy-2xb200
+- label: Qwen3-30B-A3B-FP8-block Accuracy (B200)
+  key: qwen3-30b-a3b-fp8-block-accuracy-b200
  timeout_in_minutes: 60
  device: b200-k8s
  optional: true
@@ -26,12 +26,6 @@ steps:
  - tests/test_jit_monitor.py
  commands:
  - pytest -v -s engine test_sequence.py test_config.py test_logger.py test_vllm_port.py test_jit_monitor.py
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 60
-      depends_on:
-      - image-build-amd

 - label: Engine (1 GPU)
  key: engine-1-gpu
@@ -44,7 +38,7 @@ steps:
    - pytest -v -s v1/engine --ignore v1/engine/test_preprocess_error_handling.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 40
      depends_on:
      - image-build-amd
@@ -74,16 +68,6 @@ steps:
    - tests/v1/e2e/general/
  commands:
    - pytest -v -s v1/e2e/general --ignore v1/e2e/general/test_async_scheduling.py
-  mirror:
-    amd:
-      device: mi250_1
-      timeout_in_minutes: 35
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/v1/
-      - tests/v1/e2e/general/
-      - vllm/platforms/rocm.py

 - label: V1 e2e (2 GPUs)
  key: v1-e2e-2-gpus
@@ -112,11 +96,6 @@ steps:
  commands:
    # Only run tests that need exactly 2 GPUs
    - pytest -v -s v1/e2e/spec_decode/test_spec_decode.py -k "tensor_parallelism"
-  mirror:
-    amd:
-      device: mi300_2
-      depends_on:
-      - image-build-amd

 - label: V1 e2e (4 GPUs)
  key: v1-e2e-4-gpus
@@ -8,11 +8,10 @@ steps:
  working_dir: "/vllm-workspace/tests"
  source_file_dependencies:
  - vllm/entrypoints
-  - tests/entrypoints/unit_tests
-  - tests/entrypoints/weight_transfer
+  - tests/entrypoints/
  commands:
-  - pytest -v -s entrypoints/unit_tests
-  - pytest -v -s entrypoints/weight_transfer
+  - pytest -v -s entrypoints/openai/tool_parsers
+  - pytest -v -s entrypoints/ --ignore=entrypoints/llm --ignore=entrypoints/rpc --ignore=entrypoints/sleep --ignore=entrypoints/serve/instrumentator --ignore=entrypoints/openai --ignore=entrypoints/offline_mode --ignore=entrypoints/test_chat_utils.py  --ignore=entrypoints/pooling --ignore=entrypoints/speech_to_text

 - label: Entrypoints Integration (LLM)
  key: entrypoints-integration-llm
@@ -21,40 +20,19 @@ steps:
  source_file_dependencies:
  - vllm/
  - tests/entrypoints/llm
+  - tests/entrypoints/offline_mode
  commands:
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/llm --ignore=entrypoints/llm/test_generate.py --ignore=entrypoints/llm/test_collective_rpc.py --ignore=entrypoints/llm/offline_mode
+  - pytest -v -s entrypoints/llm --ignore=entrypoints/llm/test_generate.py --ignore=entrypoints/llm/test_collective_rpc.py
  - pytest -v -s entrypoints/llm/test_generate.py # it needs a clean process
-  - pytest -v -s entrypoints/llm/offline_mode # Needs to avoid interference with other tests
+  - pytest -v -s entrypoints/offline_mode # Needs to avoid interference with other tests
  mirror:
    amd:
-      device: mi325_1
-      # TODO(akaratza): Test after Torch >= 2.12 bump
-      soft_fail: true
+      device: mi300_1
      depends_on:
      - image-build-amd

- label: Entrypoints Integration (API Server)
-  key: entrypoints-integration-api-server
-  device: h200_35gb
-  timeout_in_minutes: 130
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/serve
-  - tests/entrypoints/scale_out
-  commands:
-  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/serve --ignore=entrypoints/serve/dev/rpc
-  - PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/serve/dev/rpc
-  - pytest -v -s entrypoints/scale_out
-  mirror:
-    amd:
-      device: mi325_1
-      depends_on:
-      - image-build-amd
-
- label: Entrypoints Integration (API Server OpenAI - Part 1)
+- label: Entrypoints Integration (API Server openai - Part 1)
  key: entrypoints-integration-api-server-openai-part-1
  timeout_in_minutes: 50
  working_dir: "/vllm-workspace/tests"
@@ -64,15 +42,15 @@ steps:
  - tests/entrypoints/test_chat_utils
  commands:
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/openai --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/correctness
+  - pytest -v -s entrypoints/openai/chat_completion --ignore=entrypoints/openai/chat_completion/test_chat_with_tool_reasoning.py --ignore=entrypoints/openai/chat_completion/test_oot_registration.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 80
      depends_on:
      - image-build-amd

- label: Entrypoints Integration (API Server OpenAI - Part 2)
+- label: Entrypoints Integration (API Server openai - Part 2)
  key: entrypoints-integration-api-server-openai-part-2
  timeout_in_minutes: 50
  working_dir: "/vllm-workspace/tests"
@@ -81,47 +59,54 @@ steps:
  - tests/entrypoints/openai
  - tests/entrypoints/test_chat_utils
  commands:
-  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/openai/chat_completion
  - pytest -v -s entrypoints/openai/completion --ignore=entrypoints/openai/completion/test_tensorizer_entrypoint.py
+  - pytest -v -s entrypoints/test_chat_utils.py
  mirror:
    amd:
-      device: mi325_1
-      timeout_in_minutes: 80
-      depends_on:
-      - image-build-amd
-
- label: Entrypoints Integration (API Server Generate)
-  key: entrypoints-integration-api-server-generate
-  timeout_in_minutes: 50
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/tool_use
-  - tests/entrypoints/tool_parsers
-  - tests/entrypoints/anthropic
-  - tests/entrypoints/generate
-  commands:
-  - pytest -v -s tool_use
-  - pytest -v -s entrypoints/tool_parsers
-  - pytest -v -s entrypoints/generate
-  - pytest -v -s entrypoints/anthropic
-  mirror:
-    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 60
      depends_on:
      - image-build-amd

- label: Entrypoints Integration (Responses API)
-  key: entrypoints-integration-responses-api
+- label: Entrypoints Integration (API Server openai - Part 3)
+  key: entrypoints-integration-api-server-openai-part-3
  timeout_in_minutes: 50
+  device: h200_18gb
  working_dir: "/vllm-workspace/tests"
  source_file_dependencies:
  - vllm/
-  - tests/entrypoints/openai/responses
+  - tests/entrypoints/openai
+  - tests/entrypoints/test_chat_utils
  commands:
-  - pytest -v -s entrypoints/openai/responses
+  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+  - pytest -v -s entrypoints/openai --ignore=entrypoints/openai/chat_completion --ignore=entrypoints/openai/completion --ignore=entrypoints/openai/correctness/ --ignore=entrypoints/openai/tool_parsers/ --ignore=entrypoints/openai/responses --ignore=entrypoints/openai/test_multi_api_servers.py
+  mirror:
+    amd:
+      device: mi300_1
+      timeout_in_minutes: 60
+      depends_on:
+      - image-build-amd
+
+- label: Entrypoints Integration (API Server 2)
+  device: h200_35gb
+  key: entrypoints-integration-api-server-2
+  timeout_in_minutes: 130
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/rpc
+  - tests/entrypoints/serve/instrumentator
+  - tests/tool_use
+  commands:
+  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
+  - pytest -v -s entrypoints/serve/instrumentator
+  - PYTHONPATH=/vllm-workspace pytest -v -s entrypoints/rpc
+  - pytest -v -s tool_use
+  mirror:
+    amd:
+      device: mi300_1
+      depends_on:
+      - image-build-amd

 - label: Entrypoints Integration (Speech to Text)
  device: h200_35gb
@@ -135,18 +120,6 @@ steps:
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
  - pytest -v -s entrypoints/speech_to_text

- label: Entrypoints Integration (Multimodal)
-  device: h200_35gb
-  key: entrypoints-integration-multimodal
-  timeout_in_minutes: 50
-  working_dir: "/vllm-workspace/tests"
-  source_file_dependencies:
-  - vllm/
-  - tests/entrypoints/multimodal
-  commands:
-  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  - pytest -v -s entrypoints/multimodal
-
 - label: Entrypoints Integration (Pooling)
  key: entrypoints-integration-pooling
  timeout_in_minutes: 50
@@ -158,6 +131,16 @@ steps:
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
  - pytest -v -s entrypoints/pooling

+- label: Entrypoints Integration (Responses API)
+  key: entrypoints-integration-responses-api
+  timeout_in_minutes: 50
+  working_dir: "/vllm-workspace/tests"
+  source_file_dependencies:
+  - vllm/
+  - tests/entrypoints/openai/responses
+  commands:
+  - pytest -v -s entrypoints/openai/responses
+
 - label: OpenAI API Correctness
  key: openai-api-correctness
  timeout_in_minutes: 30
@@ -165,22 +148,6 @@ steps:
  source_file_dependencies:
  - csrc/
  - vllm/entrypoints/openai/
+  - vllm/model_executor/models/whisper.py
  commands: # LMEval
  - pytest -s entrypoints/openai/correctness/
-  mirror:
-    amd:
-      device: mi325_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - csrc/
-      - vllm/entrypoints/openai/
-      - vllm/model_executor/layers/
-      - vllm/v1/attention/backends/
-      - vllm/v1/attention/selector.py
-      - vllm/_aiter_ops.py
-      - vllm/platforms/rocm.py
-      - vllm/model_executor/model_loader/
-      commands:
-      - bash ../tools/install_torchcodec_rocm.sh || exit 1
-      - pytest -s entrypoints/openai/correctness/
@@ -14,16 +14,6 @@ steps:
  commands:
  - pytest -v -s distributed/test_eplb_algo.py
  - pytest -v -s distributed/test_eplb_utils.py
-  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/distributed/eplb
-      - tests/distributed/test_eplb_algo.py
-      - tests/distributed/test_eplb_utils.py
-      - vllm/platforms/rocm.py

 - label: EPLB Execution # 17min
  key: eplb-execution
@@ -21,9 +21,8 @@ steps:
  - csrc/
  - tests/kernels/core
  - tests/kernels/test_concat_mla_q.py
-  - tests/kernels/test_fused_qk_norm_rope_gate.py
  commands:
-    - pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py  kernels/test_concat_mla_q.py kernels/test_fused_qk_norm_rope_gate.py
+    - pytest -v -s kernels/core --ignore=kernels/core/test_minimax_reduce_rms.py  kernels/test_concat_mla_q.py

 - label: Kernels MiniMax Reduce RMS Test (2 GPUs)
  key: kernels-minimax-reduce-rms-test-2-gpus
@@ -39,30 +38,6 @@ steps:
  commands:
    - pytest -v -s kernels/core/test_minimax_reduce_rms.py

- label: Deepseek V4 Kernel Test (H100)
-  key: deepseek-v4-kernel-test-h100
-  timeout_in_minutes: 15
-  device: h100
-  source_file_dependencies:
-  - csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
-  - vllm/models/deepseek_v4/common/ops/
-  - tests/kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
-  - tests/kernels/test_top_k_per_row.py # it runs on Blackwell too - some kernels have arch-specific optimizations
-  commands:
-    - pytest -v -s kernels/test_fused_deepseek_v4_*.py
-    - pytest -v -s kernels/test_top_k_per_row.py
-
- label: Deepseek V4 Kernel Test (B200)
-  key: deepseek-v4-kernel-test-b200
-  timeout_in_minutes: 15
-  device: b200-k8s
-  source_file_dependencies:
-  - csrc/fused_deepseek_v4_qnorm_rope_kv_insert_kernel.cu
-  - vllm/models/deepseek_v4/common/ops/
-  - tests/kernels/test_fused_deepseek_v4_qnorm_rope_kv_insert.py
-  commands:
-    - pytest -v -s kernels/test_fused_deepseek_v4_*.py
-
 - label: Kernels Attention Test %N
  key: kernels-attention-test
  timeout_in_minutes: 35
@@ -76,33 +51,6 @@ steps:
  commands:
    - pytest -v -s kernels/attention --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
  parallelism: 2
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 55
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - csrc/attention/
-      - vllm/v1/attention
-      - vllm/model_executor/layers/attention
-      - tests/kernels/attention
-      - vllm/_aiter_ops.py
-      - vllm/envs.py
-      - vllm/platforms/rocm.py
-
- label: Kernels Attention DiffKV Test (H100)
-  key: kernels-attention-diffkv-test-h100
-  timeout_in_minutes: 20
-  device: h100
-  num_devices: 1
-  source_file_dependencies:
-  - vllm/v1/attention/ops/triton_unified_attention_diffkv.py
-  - vllm/v1/attention/backends/triton_attn_diffkv.py
-  - vllm/v1/attention/backends/flash_attn_diffkv.py
-  - tests/kernels/attention/test_triton_unified_attention_diffkv.py
-  commands:
-    - pytest -v -s kernels/attention/test_triton_unified_attention_diffkv.py

 - label: Kernels Quantization Test %N
  key: kernels-quantization-test
@@ -116,11 +64,10 @@ steps:
  parallelism: 2
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      source_file_dependencies:
      - csrc/quantization/
      - vllm/model_executor/layers/quantization
-      - vllm/config/
      - tests/kernels/quantization
      - tests/kernels/quantization/test_rocm_skinny_gemms.py
      - vllm/_aiter_ops.py
@@ -144,22 +91,6 @@ steps:
    - pytest -v -s kernels/moe --ignore=kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
    - pytest -v -s kernels/moe/test_modular_oai_triton_moe.py --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT
  parallelism: 5
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 50
-      source_file_dependencies:
-      - csrc/quantization/cutlass_w8a8/moe/
-      - csrc/moe/
-      - tests/kernels/moe
-      - vllm/model_executor/layers/fused_moe/
-      - vllm/distributed/device_communicators/
-      - vllm/envs.py
-      - vllm/config
-      - vllm/_aiter_ops.py
-      - vllm/platforms/rocm.py
-      depends_on:
-      - image-build-amd

 - label: Kernels Mamba Test
  key: kernels-mamba-test
@@ -270,12 +201,12 @@ steps:
  - vllm/utils/import_utils.py
  - tests/kernels/helion/
  commands:
-    - pip install helion==1.1.0
+    - pip install helion==1.0.0
    - pytest -v -s kernels/helion/

 
- label: Kernels FP8 MoE Test (1xH100)
-  key: kernels-fp8-moe-test-1xh100
+- label: Kernels FP8 MoE Test (1 H100)
+  key: kernels-fp8-moe-test-1-h100
  timeout_in_minutes: 90
  device: h100
  num_devices: 1
@@ -291,8 +222,8 @@ steps:
    - pytest -v -s kernels/moe/test_triton_moe_no_act_mul.py
    - pytest -v -s kernels/moe/test_triton_moe_ptpc_fp8.py

- label: Kernels FP8 MoE Test (2xH100)
-  key: kernels-fp8-moe-test-2xh100
+- label: Kernels FP8 MoE Test (2 H100s)
+  key: kernels-fp8-moe-test-2-h100s
  timeout_in_minutes: 90
  device: h100
  num_devices: 2
@@ -346,4 +277,3 @@ steps:
  - vllm/config
  commands:
    - pytest -v -s kernels/moe/test_moe_layer.py
-    - pytest -v -s kernels/moe/test_deepep_v2_moe.py
@@ -12,24 +12,8 @@ steps:
  autorun_on_main: true
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small.txt
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 55
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - csrc/
-      - vllm/model_executor/layers/quantization
-      - vllm/model_executor/models/
-      - vllm/model_executor/model_loader/
-      - vllm/v1/attention/backends/
-      - vllm/v1/attention/selector.py
-      - vllm/_aiter_ops.py
-      - vllm/platforms/rocm.py

-# - label: LM Eval Large Models (4xA100)
-#   key: lm-eval-large-models-4xa100
+# - label: LM Eval Large Models (4 GPUs)(A100)
 #   device: a100
 #   optional: true
 #   num_devices: 4
@@ -41,8 +25,8 @@ steps:
 #   - export VLLM_WORKER_MULTIPROC_METHOD=spawn
 #   - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large.txt --tp-size=4

- label: LM Eval Large Models (4xH100)
-  key: lm-eval-large-models-4xh100
+- label: LM Eval Large Models (4 GPUs)(H100)
+  key: lm-eval-large-models-4-gpus-h100
  device: h100
  optional: true
  num_devices: 4
@@ -54,8 +38,8 @@ steps:
    - export VLLM_USE_DEEP_GEMM=0  # We found Triton is faster than DeepGEMM for H100
    - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-large-hopper.txt --tp-size=4

- label: LM Eval Small Models (2xB200)
-  key: lm-eval-small-models-2xb200
+- label: LM Eval Small Models (B200)
+  key: lm-eval-small-models-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -65,20 +49,8 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell.txt

- label: LM Eval Small Models (2xL4)
-  key: lm-eval-small-models-tp
-  timeout_in_minutes: 10
-  num_devices: 2
-  optional: true
-  source_file_dependencies:
-  - csrc/
-  - vllm/model_executor/layers/quantization
-  autorun_on_main: true
-  commands:
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-small-tp.txt
-
- label: LM Eval Large Models EP (2xB200)
-  key: lm-eval-large-models-ep-2xb200
+- label: LM Eval Large Models (B200, EP)
+  key: lm-eval-large-models-b200-ep
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -89,8 +61,8 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-blackwell-ep.txt

- label: LM Eval Qwen3.5 Models (2xB200)
-  key: lm-eval-qwen3-5-models-2xb200
+- label: LM Eval Qwen3.5 Models (B200)
+  key: lm-eval-qwen3-5-models-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -106,24 +78,14 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-qwen35-blackwell.txt

- label: LM Eval Large Models (8xH200)
-  key: lm-eval-large-models-8xh200
+- label: LM Eval Large Models (H200)
+  key: lm-eval-large-models-h200
  timeout_in_minutes: 60
  device: h200
  optional: true
  num_devices: 8
  commands:
    - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-h200.txt
-  mirror:
-    amd:
-      device: mi300_8
-      timeout_in_minutes: 180
-      depends_on:
-      - image-build-amd
-      commands:
-      - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-      - export PYTORCH_ROCM_ARCH=gfx942 # Limit Quark compilation to save time
-      - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=configs/models-mi3xx.txt

 - label: MoE Refactor Integration Test (H100 - TEMPORARY)
  key: moe-refactor-integration-test-h100-temporary
@@ -149,49 +111,6 @@ steps:
  commands:
    - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/moe-refactor-dp-ep/config-b200.txt

- label: LM Eval Humming (A100 - TEMPORARY)
-  key: lm-eval-humming-a100
-  timeout_in_minutes: 30
-  device: a100
-  optional: true
-  num_devices: 1
-  source_file_dependencies:
-  - vllm/model_executor/layers/quantization/humming.py
-  - vllm/model_executor/layers/quantization/utils/humming_utils.py
-  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
-  - vllm/model_executor/layers/fused_moe/oracle/mxfp4.py
-  commands:
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
-
- label: LM Eval Humming (H100 - TEMPORARY)
-  key: lm-eval-humming-h100
-  timeout_in_minutes: 30
-  device: h100
-  optional: true
-  num_devices: 1
-  source_file_dependencies:
-  - vllm/model_executor/layers/quantization/humming.py
-  - vllm/model_executor/layers/quantization/utils/humming_utils.py
-  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
-  - vllm/model_executor/layers/fused_moe/oracle/mxfp4.py
-  commands:
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt
-
- label: LM Eval Humming (B200 - TEMPORARY)
-  key: lm-eval-humming-b200
-  timeout_in_minutes: 30
-  device: b200-k8s
-  optional: true
-  num_devices: 1
-  source_file_dependencies:
-  - vllm/model_executor/layers/quantization/humming.py
-  - vllm/model_executor/layers/quantization/utils/humming_utils.py
-  - vllm/model_executor/layers/fused_moe/experts/fused_humming_moe.py
-  - vllm/model_executor/layers/fused_moe/oracle/mxfp4.py
-  commands:
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config.txt
-  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/humming/config-act-fp8.txt

 - label: LM Eval TurboQuant KV Cache
  key: lm-eval-turboquant-kv-cache
@@ -205,8 +124,8 @@ steps:
  commands:
  - pytest -s -v evals/gsm8k/test_gsm8k_correctness.py --config-list-file=evals/gsm8k/configs/models-turboquant.txt

- label: GPQA Eval (GPT-OSS) (2xH100)
-  key: gpqa-eval-gpt-oss-2xh100
+- label: GPQA Eval (GPT-OSS) (H100)
+  key: gpqa-eval-gpt-oss-h100
  timeout_in_minutes: 120
  device: h100
  optional: true
@@ -219,8 +138,8 @@ steps:
    - uv pip install --system 'gpt-oss[eval]==0.0.5'
    - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-h100.txt

- label: GPQA Eval (GPT-OSS) (2xB200)
-  key: gpqa-eval-gpt-oss-2xb200
+- label: GPQA Eval (GPT-OSS) (B200)
+  key: gpqa-eval-gpt-oss-b200
  timeout_in_minutes: 120
  device: b200-k8s
  optional: true
@@ -233,22 +152,6 @@ steps:
    - uv pip install --system 'gpt-oss[eval]==0.0.5'
    - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-b200.txt

- label: GPQA Eval (GPT-OSS) (DGX Spark)
-  key: gpqa-eval-gpt-oss-spark
-  timeout_in_minutes: 120
-  device: dgx-spark
-  optional: true
-  num_devices: 1
-  depends_on:
-  - arm64-image-build
-  source_file_dependencies:
-  - csrc/
-  - vllm/model_executor/layers/quantization
-  - tests/evals/gpt_oss/
-  commands:
-    - uv pip install --system 'gpt-oss[eval]==0.0.5'
-    - pytest -s -v evals/gpt_oss/test_gpqa_correctness.py --config-list-file=configs/models-spark.txt
-
 - label: MRCR Eval Small Models
  device: h200_35gb
  timeout_in_minutes: 30
@@ -12,17 +12,6 @@ steps:
  commands:
    - pytest -v -s lora --shard-id=$$BUILDKITE_PARALLEL_JOB --num-shards=$$BUILDKITE_PARALLEL_JOB_COUNT --ignore=lora/test_chatglm3_tp.py --ignore=lora/test_llama_tp.py --ignore=lora/test_qwen3_with_multi_loras.py --ignore=lora/test_olmoe_tp.py --ignore=lora/test_deepseekv2_tp.py --ignore=lora/test_gptoss_tp.py --ignore=lora/test_qwen3moe_tp.py --ignore=lora/test_qwen35_densemodel_lora.py 
  parallelism: 4
-  mirror:
-    amd:
-      device: mi325_1
-      working_dir: "/vllm-workspace/tests"
-      timeout_in_minutes: 60
-      source_file_dependencies:
-      - vllm/lora
-      - tests/lora
-      - vllm/platforms/rocm.py
-      depends_on:
-      - image-build-amd


 - label: LoRA TP (Distributed)
@@ -21,12 +21,6 @@ steps:
    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
    # TODO: create another `optional` test group for slow tests
    - pytest -v -s -m 'not slow_test' v1/spec_decode
-  mirror:
-    amd:
-      device: mi300_1
-      timeout_in_minutes: 65
-      depends_on:
-      - image-build-amd

 - label: V1 Sample + Logits
  key: v1-sample-logits
@@ -58,7 +52,7 @@ steps:
    - pytest -v -s v1/test_outputs.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -92,7 +86,7 @@ steps:
    - tests/v1/metrics
    - tests/entrypoints/openai/correctness/test_lmeval.py
  commands:
-    - bash /vllm-workspace/.buildkite/scripts/install-kv-connectors.sh
+    - uv pip install --system -r /vllm-workspace/requirements/kv_connectors.txt
    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
    # split the test to avoid interference
    - pytest -v -s -m 'not cpu_test' v1/core
@@ -105,12 +99,6 @@ steps:
    # Integration test for streaming correctness (requires special branch).
    - pip install -U git+https://github.com/robertgshaw2-redhat/lm-evaluation-harness.git@streaming-api
    - pytest -v -s entrypoints/openai/correctness/test_lmeval.py::test_lm_eval_accuracy_v1_engine
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 60
-      depends_on:
-      - image-build-amd

 - label: V1 Others (CPU)
  key: v1-others-cpu
@@ -150,26 +138,11 @@ steps:
    - vllm/v1/spec_decode/extract_hidden_states.py
    - vllm/model_executor/models/extract_hidden_states.py
    - vllm/transformers_utils/configs/extract_hidden_states.py
-    - vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
    - tests/v1/kv_connector/extract_hidden_states_integration
  commands:
    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
    - pytest -v -s v1/kv_connector/extract_hidden_states_integration

- label: Extract Hidden States Integration (2 GPUs)
-  key: extract-hidden-states-integration-2-gpus
-  timeout_in_minutes: 20
-  num_devices: 2
-  source_file_dependencies:
-    - vllm/v1/spec_decode/extract_hidden_states.py
-    - vllm/model_executor/models/extract_hidden_states.py
-    - vllm/transformers_utils/configs/extract_hidden_states.py
-    - vllm/distributed/kv_transfer/kv_connector/v1/example_hidden_states_connector.py
-    - tests/v1/kv_connector/extract_hidden_states_integration
-  commands:
-    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-    - pytest -v -s -m 'distributed' v1/kv_connector/extract_hidden_states_integration
-
 - label: Regression
  key: regression
  timeout_in_minutes: 20
@@ -224,16 +197,6 @@ steps:
    - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
    # https://github.com/vllm-project/vllm/pull/26682 uses slightly more memory in PyTorch 2.9+ causing this test to OOM in 1xL4 GPU
    - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
-  mirror:
-    amd:
-      device: mi325_1
-      source_file_dependencies:
-      - vllm/entrypoints
-      - vllm/multimodal
-      - examples/
-      - vllm/platforms/rocm.py
-      depends_on:
-      - image-build-amd

 - label: Metrics, Tracing (2 GPUs)
  key: metrics-tracing-2-gpus
@@ -260,12 +223,6 @@ steps:
      'opentelemetry-exporter-otlp>=1.26.0' \
      'opentelemetry-semantic-conventions-ai>=0.4.1'"
  - pytest -v -s v1/tracing
-  mirror:
-    amd:
-      device: mi325_2
-      depends_on:
-      - image-build-amd
-      optional: true

 - label: Python-only Installation
  key: python-only-installation
@@ -278,16 +235,6 @@ steps:
  - setup.py
  commands:
  - bash standalone_tests/python_only_compile.sh
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 20
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - tests/standalone_tests/python_only_compile.sh
-      - setup.py
-      - vllm/platforms/rocm.py

 - label: Async Engine, Inputs, Utils, Worker
  device: h200_35gb
@@ -334,7 +281,6 @@ steps:
  - vllm/model_executor/layers/quantization/quark/
  - vllm/multimodal/
  - vllm/outputs.py
-  - vllm/parser/
  - vllm/platforms/
  - vllm/pooling_params.py
  - vllm/ray/
@@ -346,7 +292,6 @@ steps:
  - vllm/transformers_utils/
  - vllm/utils/
  - vllm/v1/
-  - tests/test_envs.py
  - tests/test_inputs.py
  - tests/test_outputs.py
  - tests/test_pooling_params.py
@@ -354,25 +299,24 @@ steps:
  - tests/multimodal
  - tests/renderers
  - tests/standalone_tests/lazy_imports.py
+  - tests/tokenizers_
  - tests/reasoning
  - tests/tool_parsers
-  - tests/tokenizers_
  - tests/parser
  - tests/transformers_utils
  - tests/config
  device: cpu-small
  commands:
  - python3 standalone_tests/lazy_imports.py
-  - pytest -v -s test_envs.py
  - pytest -v -s test_inputs.py
  - pytest -v -s test_outputs.py
  - pytest -v -s test_pooling_params.py
  - pytest -v -s test_ray_env.py
  - pytest -v -s -m 'cpu_test' multimodal
  - pytest -v -s renderers
-  - pytest -v -s reasoning
-  - pytest -v -s tool_parsers
  - pytest -v -s tokenizers_
+  - pytest -v -s reasoning --ignore=reasoning/test_seedoss_reasoning_parser.py --ignore=reasoning/test_glm4_moe_reasoning_parser.py
+  - pytest -v -s tool_parsers
  - pytest -v -s parser
  - pytest -v -s transformers_utils
  - pytest -v -s config
@@ -14,25 +14,5 @@ steps:
  commands:
    - apt-get update && apt-get install -y curl libsodium23
    - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-    # Dump tracebacks of all threads if a test hangs, so a wedged GPU/CUDA
-    # init surfaces a stack instead of silently stalling.
-    - export PYTHONFAULTHANDLER=1
-    # Per-test watchdog: a single hung test (e.g. stuck during engine/CUDA
-    # init) fails fast with a traceback instead of running until the global
-    # build timeout. The `thread` method also handles hangs inside C/CUDA
-    # calls that the signal method cannot interrupt.
-    - pytest -v -s model_executor -m '(not slow_test)' --timeout=900 --timeout-method=thread
-    - pytest -v -s entrypoints/openai/completion/test_tensorizer_entrypoint.py --timeout=900 --timeout-method=thread
-  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/engine/arg_utils.py
-      - vllm/config/model.py
-      - vllm/model_executor
-      - tests/model_executor
-      - tests/entrypoints/openai/completion/test_tensorizer_entrypoint.py
-      - vllm/_aiter_ops.py
-      - vllm/platforms/rocm.py
+    - pytest -v -s model_executor -m '(not slow_test)'
+    - pytest -v -s entrypoints/openai/completion/test_tensorizer_entrypoint.py
@@ -94,13 +94,11 @@ steps:
    - vllm/v1/worker/gpu_worker.py
    - tests/distributed/test_pipeline_parallel.py
    - tests/distributed/test_pp_cudagraph.py
-    - tests/v1/distributed/test_pp_dp_v2.py
  commands:
    - set -x
    - export VLLM_USE_V2_MODEL_RUNNER=1
    - pytest -v -s distributed/test_pipeline_parallel.py -k "not ray and not Jamba"
    - pytest -v -s distributed/test_pp_cudagraph.py -k "not ray"
-    - pytest -v -s v1/distributed/test_pp_dp_v2.py

 - label: Model Runner V2 Spec Decode
  device: h200_35gb
@@ -45,11 +45,6 @@ steps:
  - tests/models/test_registry.py
  commands:
    - pytest -v -s models/test_terratorch.py models/test_transformers.py models/test_registry.py
-  mirror:
-    amd:
-      device: mi325_1
-      depends_on:
-      - image-build-amd

 - label: Basic Models Test (Other CPU) # 5min
  key: basic-models-test-other-cpu
@@ -63,3 +58,37 @@ steps:
  device: cpu-small
  commands:
    - pytest -v -s models/test_utils.py models/test_vision.py
+
+- label: Transformers Nightly Models
+  device: h200_35gb
+  key: transformers-nightly-models
+  working_dir: "/vllm-workspace/"
+  optional: true
+  soft_fail: true
+  commands:
+    - pip install --upgrade git+https://github.com/huggingface/transformers
+    - pytest -v -s tests/models/test_initialization.py
+    - pytest -v -s tests/models/test_transformers.py
+    - pytest -v -s tests/models/multimodal/processing/
+    - pytest -v -s tests/models/multimodal/test_mapping.py
+    - python3 examples/basic/offline_inference/chat.py
+    - python3 examples/generate/multimodal/vision_language_offline.py --model-type qwen2_5_vl
+    # Whisper needs spawn method to avoid deadlock
+    - VLLM_WORKER_MULTIPROC_METHOD=spawn python3 examples/generate/multimodal/audio_language_offline.py --model-type whisper
+
+- label: Transformers Backward Compatibility Models Test
+  device: h200_35gb
+  key: transformers-backward-compatibility-models-test
+  working_dir: "/vllm-workspace/"
+  optional: true
+  soft_fail: true
+  commands:
+    - pip install transformers==4.57.5
+    - pytest -v -s tests/models/test_initialization.py
+    - pytest -v -s tests/models/test_transformers.py
+    - pytest -v -s tests/models/multimodal/processing/
+    - pytest -v -s tests/models/multimodal/test_mapping.py
+    - python3 examples/basic/offline_inference/chat.py
+    - python3 examples/generate/multimodal/vision_language_offline.py --model-type qwen2_5_vl
+    # Whisper needs spawn method to avoid deadlock
+    - VLLM_WORKER_MULTIPROC_METHOD=spawn python3 examples/generate/multimodal/audio_language_offline.py --model-type whisper
@@ -15,10 +15,6 @@ steps:
    - pytest -v -s models/language -m 'core_model and (not slow_test)'
  mirror:
    torch_nightly: {}
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd

 - label: Language Models Tests (Extra Standard) %N
  key: language-models-tests-extra-standard
@@ -36,21 +32,6 @@ steps:
  parallelism: 2
  mirror:
    torch_nightly: {}
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/model_executor/models/
-      - vllm/model_executor/model_loader/
-      - vllm/model_executor/layers/
-      - vllm/v1/attention/backends/
-      - vllm/v1/attention/selector.py
-      - tests/models/language/pooling/test_embedding.py
-      - tests/models/language/generation/test_common.py
-      - tests/models/language/pooling/test_classification.py
-      - vllm/_aiter_ops.py
-      - vllm/platforms/rocm.py

 - label: Language Models Tests (Hybrid) %N
  key: language-models-tests-hybrid
@@ -69,8 +50,7 @@ steps:
  mirror:
    torch_nightly: {}
    amd:
-      device: mi325_1
-      timeout_in_minutes: 90
+      device: mi300_1
      depends_on:
      - image-build-amd
      commands:
@@ -116,7 +96,7 @@ steps:
    - pytest -v -s models/language/pooling -m 'not core_model'
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      timeout_in_minutes: 100
      depends_on:
      - image-build-amd
@@ -15,7 +15,7 @@ steps:
    - pytest -v -s models/multimodal/generation/test_ultravox.py -m core_model
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -30,9 +30,10 @@ steps:
    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
    - pytest -v -s models/multimodal/generation/test_common.py -m core_model -k "qwen3 or gemma"
    - pytest -v -s models/multimodal/generation/test_qwen2_5_vl.py -m core_model
+    - pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -49,7 +50,7 @@ steps:
    - pytest -v -s models/multimodal/generation/test_qwen2_vl.py -m core_model
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -62,15 +63,9 @@ steps:
  - tests/models/multimodal
  commands:
    - pip install git+https://github.com/TIGER-AI-Lab/Mantis.git
-    - pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py  --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/generation/test_vit_cudagraph.py --ignore models/multimodal/processing
-    - pytest -v -s models/multimodal/generation/test_vit_cudagraph.py -m core_model
+    - pytest -v -s models/multimodal -m core_model --ignore models/multimodal/generation/test_common.py --ignore models/multimodal/generation/test_ultravox.py --ignore models/multimodal/generation/test_qwen2_5_vl.py --ignore models/multimodal/generation/test_qwen2_vl.py --ignore models/multimodal/generation/test_whisper.py  --ignore models/multimodal/generation/test_memory_leak.py --ignore models/multimodal/processing
    - pytest models/multimodal/generation/test_memory_leak.py -m core_model
    - cd .. && VLLM_WORKER_MULTIPROC_METHOD=spawn pytest -v -s tests/models/multimodal/generation/test_whisper.py -m core_model  # Otherwise, mp_method="spawn" doesn't work
-  mirror:
-    amd:
-      device: mi325_1
-      depends_on:
-      - image-build-amd

 - label: Multi-Modal Processor (CPU)
  key: multi-modal-processor-cpu
@@ -109,17 +104,6 @@ steps:
  - vllm/v1/core/
  commands:
  - pytest -s -v test_lm_eval_correctness.py --config-list-file=configs/models-mm-small.txt --tp-size=1
-  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/multimodal/
-      - vllm/inputs/
-      - vllm/v1/core/
-      - vllm/platforms/rocm.py
-      - vllm/model_executor/model_loader/

 - label: Multi-Modal Models (Extended Generation 1)
  key: multi-modal-models-extended-generation-1
@@ -134,7 +118,7 @@ steps:
    - pytest -v -s models/multimodal/test_mapping.py
  mirror:
    amd:
-      device: mi325_1
+      device: mi300_1
      depends_on:
      - image-build-amd

@@ -169,12 +153,3 @@ steps:
  - tests/models/multimodal/pooling
  commands:
    - pytest -v -s models/multimodal/pooling -m 'not core_model'
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 60
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/
-      - tests/models/multimodal/pooling
@@ -27,10 +27,6 @@ steps:
  - pip install -e ./plugins/bge_m3_sparse_plugin
  - pytest -v -s plugins_tests/test_bge_m3_sparse_io_processor_plugins.py
  - pip uninstall bge_m3_sparse_plugin -y
-  # test colbert_query io_processor plugin
-  - pip install -e ./plugins/colbert_query_plugin
-  - pytest -v -s plugins_tests/test_colbert_query_io_processor_plugins.py
-  - pip uninstall colbert_query_plugin -y
  # end io_processor plugins test
  # begin stat_logger plugins test
  - pip install -e ./plugins/vllm_add_dummy_stat_logger
@@ -41,20 +37,6 @@ steps:
  - pytest -v -s plugins_tests/test_scheduler_plugins.py
  - pip install -e ./plugins/vllm_add_dummy_model
  - pytest -v -s distributed/test_distributed_oot.py
-  - pytest -v -s plugins_tests/test_oot_registration_online.py # it needs a clean process
-  - pytest -v -s plugins_tests/test_oot_registration_offline.py # it needs a clean process
-  - pytest -v -s plugins_tests/lora_resolvers # unit tests for in-tree lora resolver plugins
-
-
- label: GGUF Plugin
-  key: gguf-plugin
-  device: h200_18gb
-  timeout_in_minutes: 30
-  soft_fail: true
-  optional: true
-  source_file_dependencies:
-  - vllm/model_executor/layers/quantization
-  - tests/plugins_tests/test_gguf_plugin.py
-  commands:
-    - pip install "vllm-gguf-plugin >= 0.0.2"
-    - pytest -v -s plugins_tests/gguf
+  - pytest -v -s entrypoints/openai/chat_completion/test_oot_registration.py # it needs a clean process
+  - pytest -v -s models/test_oot_registration.py # it needs a clean process
+  - pytest -v -s plugins/lora_resolvers # unit tests for in-tree lora resolver plugins
@@ -107,12 +107,6 @@ steps:
    - tests/compile/passes
  commands:
  - pytest -s -v compile/passes --ignore compile/passes/distributed
-  mirror:
-    amd:
-      device: mi300_1
-      timeout_in_minutes: 180
-      depends_on:
-      - image-build-amd

 - label: PyTorch Fullgraph Smoke Test
  key: pytorch-fullgraph-smoke-test
@@ -195,11 +189,3 @@ steps:
  - requirements/test/nightly-torch.txt
  commands:
  - bash standalone_tests/pytorch_nightly_dependency.sh
-  mirror:
-    amd:
-      device: mi300_1
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - requirements/test/nightly-torch.txt
-      - vllm/platforms/rocm.py
@@ -21,18 +21,6 @@ steps:
  - uv pip install --system conch-triton-kernels
  - VLLM_TEST_FORCE_LOAD_FORMAT=auto pytest -v -s quantization/ --ignore quantization/test_blackwell_moe.py

- label: Quantized Fusions
-  key: quantized-fusions
-  timeout_in_minutes: 30
-  source_file_dependencies:
-  - tests/fusion
-  - vllm/model_executor/layers/fusion
-  - vllm/model_executor/kernels/linear
-  - vllm/model_executor/layers/quantization/compressed_tensors
-  - vllm/model_executor/layers/quantization/modelopt.py
-  commands:
-    - pytest -v -s fusion/
-
 - label: Quantized MoE Test (B200)
  key: quantized-moe-test-b200
  timeout_in_minutes: 60
@@ -16,7 +16,7 @@ steps:
  - tests/benchmarks/test_serve_cli.py
  - tests/entrypoints/openai/chat_completion/test_chat_completion.py
  # - tests/entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py
-
+  # - tests/entrypoints/openai/chat_completion/test_chat_with_tool_reasoning.py
  # - tests/entrypoints/openai/completion/test_prompt_validation.py
  - tests/entrypoints/openai/completion/test_shutdown.py
  # - tests/entrypoints/openai/test_return_token_ids.py
@@ -26,9 +26,9 @@ steps:
  - export VLLM_USE_RUST_FRONTEND=1
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
  - pytest -v -s benchmarks/test_serve_cli.py -k "not insecure and not (test_bench_serve and not test_bench_serve_chat)"
-  - pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py -k "not test_invalid_json_schema and not test_invalid_regex"
+  - pytest -v -s entrypoints/openai/chat_completion/test_chat_completion.py
  # - pytest -v -s entrypoints/openai/chat_completion/test_chat_logit_bias_validation.py -k "not invalid"
-
+  # - pytest -v -s entrypoints/openai/chat_completion/test_chat_with_tool_reasoning.py
  # - pytest -v -s entrypoints/openai/completion/test_prompt_validation.py -k "not prompt_embeds"
  - pytest -v -s entrypoints/openai/completion/test_shutdown.py -k "not engine_failure and not test_abort_timeout_exits_quickly"
  # - pytest -v -s entrypoints/openai/test_return_token_ids.py
@@ -45,19 +45,19 @@ steps:
  - vllm/entrypoints/serve/
  - vllm/v1/engine/
  - tests/utils.py
-  # - tests/entrypoints/serve/dev/rpc/test_collective_rpc.py
-  - tests/entrypoints/scale_out/token_in_token_out/test_serving_tokens.py
+  # - tests/entrypoints/rpc/test_collective_rpc.py
+  - tests/entrypoints/serve/disagg/test_serving_tokens.py
  - tests/entrypoints/serve/instrumentator/test_basic.py
  - tests/entrypoints/serve/instrumentator/test_metrics.py
-  # - tests/entrypoints/serve/dev/test_sleep.py
+  # - tests/entrypoints/serve/instrumentator/test_sleep.py
  commands:
  - export VLLM_USE_RUST_FRONTEND=1
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
-  # - pytest -v -s entrypoints/serve/dev/rpc/test_collective_rpc.py
+  # - pytest -v -s entrypoints/rpc/test_collective_rpc.py
  - pytest -v -s entrypoints/serve/instrumentator/test_basic.py -k "not show_version and not server_load"
-  - pytest -v -s entrypoints/scale_out/token_in_token_out/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
+  - pytest -v -s entrypoints/serve/disagg/test_serving_tokens.py -k "not stream and not lora and not test_generate_logprobs and not stop_string_workflow"
  - pytest -v -s entrypoints/serve/instrumentator/test_metrics.py -k "text and not show and not run_batch and not test_metrics_counts and not test_metrics_exist"
-  # - pytest -v -s entrypoints/serve/dev/test_sleep.py
+  # - pytest -v -s entrypoints/serve/instrumentator/test_sleep.py

 - label: Rust Frontend Core Correctness
  timeout_in_minutes: 30
@@ -99,13 +99,9 @@ steps:
  - vllm/v1/engine/
  - vllm/v1/worker/
  - tests/utils.py
-  - tests/v1/distributed/test_external_lb_dp.py
-  - tests/v1/distributed/test_hybrid_lb_dp.py
  - tests/v1/distributed/test_internal_lb_dp.py
  commands:
  - export VLLM_USE_RUST_FRONTEND=1
  - export VLLM_WORKER_MULTIPROC_METHOD=spawn
  - export NCCL_CUMEM_HOST_ENABLE=0
  - TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_internal_lb_dp.py -k "not 4 and not server_info"
-  - TP_SIZE=1 DP_SIZE=2 pytest -v -s v1/distributed/test_external_lb_dp.py -k "not 4 and not server_info"
-  - TP_SIZE=1 DP_SIZE=4 pytest -v -s v1/distributed/test_hybrid_lb_dp.py -k "not 4 and not server_info"
@@ -12,20 +12,6 @@ steps:
    - tests/v1/e2e/spec_decode/
  commands:
    - pytest -v -s v1/e2e/spec_decode -k "eagle_correctness"
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 45
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/v1/spec_decode/
-      - vllm/v1/worker/gpu/spec_decode/
-      - vllm/model_executor/model_loader/
-      - vllm/v1/sample/
-      - vllm/model_executor/layers/
-      - tests/v1/e2e/spec_decode/
-      - vllm/platforms/rocm.py

 - label: Spec Decode Eagle Nightly B200
  key: spec-decode-eagle-nightly-b200
@@ -46,26 +32,10 @@ steps:
  source_file_dependencies:
    - vllm/v1/spec_decode/
    - vllm/v1/worker/gpu/spec_decode/
-    - vllm/v1/attention/backends/
    - vllm/transformers_utils/configs/speculators/
    - tests/v1/e2e/spec_decode/
  commands:
    - pytest -v -s v1/e2e/spec_decode -k "speculators or mtp_correctness"
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 65
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/v1/spec_decode/
-      - vllm/v1/worker/gpu/spec_decode/
-      - vllm/model_executor/model_loader/
-      - vllm/v1/sample/
-      - vllm/model_executor/layers/
-      - vllm/transformers_utils/configs/speculators/
-      - tests/v1/e2e/spec_decode/
-      - vllm/platforms/rocm.py

 - label: Spec Decode Speculators + MTP Nightly B200
  key: spec-decode-speculators-mtp-nightly-b200
@@ -90,22 +60,6 @@ steps:
    - tests/v1/e2e/spec_decode/
  commands:
    - pytest -v -s v1/e2e/spec_decode -k "ngram or suffix"
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 65
-      # TODO(akaratza): Test after Torch >= 2.12 bump
-      soft_fail: true
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/v1/spec_decode/
-      - vllm/v1/worker/gpu/spec_decode/
-      - vllm/model_executor/model_loader/
-      - vllm/v1/sample/
-      - vllm/model_executor/layers/
-      - tests/v1/e2e/spec_decode/
-      - vllm/platforms/rocm.py

 - label: Spec Decode Draft Model
  key: spec-decode-draft-model
@@ -117,20 +71,6 @@ steps:
    - tests/v1/e2e/spec_decode/
  commands:
    - pytest -v -s v1/e2e/spec_decode -k "draft_model or no_sync or batch_inference"
-  mirror:
-    amd:
-      device: mi325_1
-      timeout_in_minutes: 50
-      depends_on:
-      - image-build-amd
-      source_file_dependencies:
-      - vllm/v1/spec_decode/
-      - vllm/v1/worker/gpu/spec_decode/
-      - vllm/model_executor/model_loader/
-      - vllm/v1/sample/
-      - vllm/model_executor/layers/
-      - tests/v1/e2e/spec_decode/
-      - vllm/platforms/rocm.py

 - label: Spec Decode Draft Model Nightly B200
  key: spec-decode-draft-model-nightly-b200
@@ -13,13 +13,6 @@ steps:
  - tests/weight_loading
  commands:
    - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models.txt
-  mirror:
-    amd:
-      device: mi300_2
-      depends_on:
-      - image-build-amd
-      commands:
-      - bash weight_loading/run_model_weight_loading_test.sh -c weight_loading/models-amd.txt

 # - label: Weight Loading Multiple GPU - Large Models # optional
 #   working_dir: "/vllm-workspace/tests"
@@ -1,35 +0,0 @@
---
-name: ci-fails-buildkite
-description: Fetch and diagnose vLLM Buildkite CI failure logs. Use when investigating failing CI jobs on a PR or build, when the user pastes a buildkite.com URL, or asks to fetch/diagnose CI logs.
---
-
-# Diagnosing vLLM Buildkite CI Failures
-
-Buildkite logs are public; no login needed.
-
-`.buildkite/scripts/ci-fetch-log.sh` saves each log as `ci-<build>-<job-name>.log`, stripped of timestamps and ANSI codes. Existing files are kept; set `CI_FETCH_LOG_FORCE=1` to refetch.
-
-## Fetching logs
-
-```bash
-# All failed jobs in a PR's latest build (current branch's PR if omitted):
-.buildkite/scripts/ci-fetch-log.sh --pr <PR>
-
-# All failed jobs in a build (--soft also includes soft-failed jobs;
-# --all fetches every finished job):
-.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>"
-
-# One job — `gh pr checks` URLs (#<job_uuid>) and web UI URLs (?sid=) both
-# work; pass "-" as a second argument to stream to stdout:
-.buildkite/scripts/ci-fetch-log.sh "https://buildkite.com/vllm/ci/builds/<N>#<job_uuid>"
-```
-
-To clean an already-downloaded log with `.buildkite/scripts/ci-clean-log.sh`:
-
-```bash
-./ci-clean-log.sh ci.log
-```
-
-## Reference
-
-See [docs/contributing/ci/failures.md](../../../docs/contributing/ci/failures.md) for the full guide: filing CI failure issues, investigating/bisecting, reproducing flaky tests, and daily triage.
@@ -2,16 +2,17 @@
 # for more info about CODEOWNERS file

 # This lists cover the "core" components of vLLM that require careful review
-/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng
-/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi @ivanium
+/vllm/compilation @zou3519 @youkaichao @ProExpertProg @BoyuanFeng @vadiklyutiy
+/vllm/distributed/kv_transfer @NickLucche @ApostaC @orozery @xuechendi
 /vllm/lora @jeejeelee
 /vllm/model_executor/layers/attention @LucasWilkinson @MatthewBonanni
 /vllm/model_executor/layers/fused_moe @mgoin @pavanimajety @zyongye
 /vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256 @pavanimajety @zyongye
 /vllm/model_executor/layers/mamba @tdoublep @tomeras91
-/vllm/model_executor/layers/mamba/gdn/qwen_gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
+/vllm/model_executor/layers/mamba/gdn_linear_attn.py @tdoublep @ZJY0516 @vadiklyutiy
+/vllm/model_executor/layers/rotary_embedding.py @vadiklyutiy
 /vllm/model_executor/model_loader @22quinn
-/vllm/model_executor/layers/batch_invariant.py @yewentao256
+/vllm/model_executor/layers/batch_invariant.py @yewentao256 
 /vllm/ir @ProExpertProg
 /vllm/kernels/ @ProExpertProg @tjtanaa
 /vllm/kernels/helion @ProExpertProg @zou3519
@@ -22,13 +23,8 @@

 # Any change to the VllmConfig changes can have a large user-facing impact,
 # so spam a lot of people
-/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @yewentao256 @ProExpertProg
-/vllm/config/cache.py @heheda12345 @ivanium
-
-# Config utils
-/vllm/config/utils.py @hmellor
-/vllm/engine/arg_utils.py @hmellor
-/vllm/utils/argparse_utils.py
+/vllm/config @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @hmellor @yewentao256 @ProExpertProg
+/vllm/config/cache.py @heheda12345

 # Entrypoints
 /vllm/entrypoints/anthropic @mgoin @DarkLight1337
@@ -38,19 +34,12 @@
 /vllm/entrypoints/speech_to_text/realtime @njhill
 /vllm/entrypoints/speech_to_text @NickLucche
 /vllm/entrypoints/pooling @noooop
-/vllm/entrypoints/serve/sagemaker @DarkLight1337
+/vllm/entrypoints/sagemaker @DarkLight1337
 /vllm/entrypoints/serve @njhill
 /vllm/entrypoints/*.py @njhill
 /vllm/entrypoints/chat_utils.py @DarkLight1337
-/vllm/entrypoints/offline_utils.py @DarkLight1337
 /vllm/entrypoints/llm.py @DarkLight1337

-# Rust Frontend
-/rust/ @BugenZhao @njhill
-/build_rust.sh @BugenZhao @njhill
-/rust-toolchain.toml @BugenZhao @njhill
-/.buildkite/test_areas/rust* @BugenZhao @njhill
-
 # Input/Output Processing
 /vllm/sampling_params.py @njhill @NickLucche
 /vllm/pooling_params.py @noooop @DarkLight1337
@@ -67,51 +56,47 @@
 /vllm/v1/attention/backends/flashinfer.py @mgoin @pavanimajety @vadiklyutiy
 /vllm/v1/attention/backends/triton_attn.py @tdoublep
 /vllm/v1/attention/backends/gdn_attn.py @ZJY0516 @vadiklyutiy
-/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
+/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
 /vllm/v1/sample @22quinn @houseroad @njhill
 /vllm/v1/spec_decode @benchislett @luccafong @MatthewBonanni
 /vllm/v1/structured_output @mgoin @russellb @aarnphm @benchislett
-/vllm/v1/kv_cache_interface.py @heheda12345 @ivanium
+/vllm/v1/kv_cache_interface.py @heheda12345
 /vllm/v1/kv_offload @ApostaC @orozery
-/vllm/v1/simple_kv_offload @ivanium
 /vllm/v1/engine @njhill
 /vllm/v1/executor @njhill
 /vllm/v1/worker @njhill
-/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche @ivanium
+/vllm/v1/worker/kv_connector_model_runner_mixin.py @orozery @NickLucche

 # Model runner V2
-/vllm/v1/worker/gpu @WoosukKwon @njhill @yewentao256
+/vllm/v1/worker/gpu @WoosukKwon @njhill
 /vllm/v1/worker/gpu/kv_connector.py @orozery

 # CI & building
-/.buildkite @Harry-Chen @khluu
-/docker/Dockerfile @Harry-Chen @khluu
-/pyproject.toml @khluu
-/setup.py @khluu
+/.buildkite @Harry-Chen
+/docker/Dockerfile @Harry-Chen

 # Test ownership
-/.buildkite/lm-eval-harness @mgoin
+/.buildkite/lm-eval-harness @mgoin 
 /tests/distributed/test_multi_node_assignment.py @youkaichao
 /tests/distributed/test_pipeline_parallel.py @youkaichao
 /tests/distributed/test_same_node.py @youkaichao
-/tests/entrypoints @DarkLight1337 @robertgshaw2-redhat @aarnphm @NickLucche @AndreasKaratzas
-/tests/evals @mgoin @vadiklyutiy @AndreasKaratzas
-/tests/kernels @mgoin @tlrmchlsmth @WoosukKwon @yewentao256 @zyongye @AndreasKaratzas
+/tests/entrypoints @DarkLight1337 @robertgshaw2-redhat @aarnphm @NickLucche
+/tests/evals @mgoin @vadiklyutiy
+/tests/kernels @mgoin @tlrmchlsmth @WoosukKwon @yewentao256 @zyongye
 /tests/kernels/ir @ProExpertProg @tjtanaa
-/tests/models @DarkLight1337 @ywang96 @AndreasKaratzas
+/tests/models @DarkLight1337 @ywang96
 /tests/multimodal @DarkLight1337 @ywang96 @NickLucche
-/tests/quantization @mgoin @robertgshaw2-redhat @yewentao256 @pavanimajety @zyongye @AndreasKaratzas
+/tests/quantization @mgoin @robertgshaw2-redhat @yewentao256 @pavanimajety @zyongye
 /tests/test_inputs.py @DarkLight1337 @ywang96
 /tests/entrypoints/llm/test_struct_output_generate.py @mgoin @russellb @aarnphm
 /tests/v1/structured_output @mgoin @russellb @aarnphm
-/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery @ivanium
+/tests/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
 /tests/weight_loading @mgoin @youkaichao @yewentao256
 /tests/lora @jeejeelee
 /tests/models/language/generation/test_hybrid.py @tdoublep @tomeras91
 /tests/v1/kv_connector/nixl_integration @NickLucche
-/tests/v1/kv_connector @ApostaC @orozery @ivanium
+/tests/v1/kv_connector @ApostaC @orozery
 /tests/v1/kv_offload @ApostaC @orozery
-/tests/v1/simple_kv_offload @ivanium
 /tests/v1/determinism @yewentao256
 /tests/reasoning @aarnphm @chaunceyjiang @sfeng33 @bbrowning
 /tests/tool_parsers @aarnphm @chaunceyjiang @sfeng33 @bbrowning
@@ -121,6 +106,16 @@
 /vllm/model_executor/models/transformers @hmellor
 /tests/models/test_transformers.py @hmellor

+# Observability
+/vllm/config/observability.py @markmc
+/vllm/v1/metrics @markmc
+/tests/v1/metrics @markmc
+/vllm/tracing.py @markmc
+/tests/v1/tracing/test_tracing.py @markmc
+/vllm/config/kv_events.py @markmc
+/vllm/distributed/kv_events.py @markmc
+/tests/distributed/test_events.py @markmc
+
 # Docs
 /docs/mkdocs @hmellor
 /docs/**/*.yml @hmellor
@@ -176,20 +171,20 @@ mkdocs.yaml @hmellor

 # ROCm related: specify owner with write access to notify AMD folks for careful code review
 /vllm/**/*rocm* @tjtanaa @dllehr-amd
-/docker/Dockerfile.rocm* @tjtanaa @dllehr-amd @AndreasKaratzas
+/docker/Dockerfile.rocm* @tjtanaa @dllehr-amd
 /vllm/v1/attention/backends/rocm*.py @tjtanaa @dllehr-amd
 /vllm/v1/attention/backends/mla/rocm*.py @tjtanaa @dllehr-amd
 /vllm/v1/attention/ops/rocm*.py @tjtanaa @dllehr-amd
 /vllm/model_executor/layers/fused_moe/rocm*.py @tjtanaa @dllehr-amd
 /csrc/rocm @tjtanaa @dllehr-amd
-/requirements/*rocm* @tjtanaa @AndreasKaratzas
-/tests/**/*rocm* @tjtanaa @AndreasKaratzas
+/requirements/*rocm* @tjtanaa
+/tests/**/*rocm* @tjtanaa
 /docs/**/*rocm* @tjtanaa
 /vllm/**/*quark* @tjtanaa
-/tests/**/*quark* @tjtanaa @AndreasKaratzas
+/tests/**/*quark* @tjtanaa
 /docs/**/*quark* @tjtanaa
-/vllm/**/*aiter* @tjtanaa @AndreasKaratzas
-/tests/**/*aiter* @tjtanaa @AndreasKaratzas
+/vllm/**/*aiter* @tjtanaa
+/tests/**/*aiter* @tjtanaa

 # TPU
 /vllm/v1/worker/tpu* @NickLucche
@@ -1,7 +0,0 @@
-# Custom self-hosted runner labels (e.g. the autoscaling vllm-runners pool) so
-# actionlint doesn't flag them as unknown in `runs-on`.
-self-hosted-runner:
-  labels:
-    - vllm-runners
-    # Not yet in actionlint's known-label set.
-    - macos-26
@@ -21,6 +21,7 @@ updates:
      - dependency-name: "torchvision"
      - dependency-name: "xformers"
      - dependency-name: "lm-format-enforcer"
+      - dependency-name: "gguf"
      - dependency-name: "compressed-tensors"
      - dependency-name: "ray[cgraph]" # Ray Compiled Graph
      - dependency-name: "lm-eval"
@@ -21,9 +21,6 @@ pull_request_rules:
    - check-failure=pre-commit
    - -closed
    - -draft
-    - or:
-      - label=ready
-      - label=verified
  actions:
    comment:
      message: |
@@ -39,6 +36,18 @@ pull_request_rules:

        For future commits, `pre-commit` will run automatically on changed files before each commit.

+        > [!TIP]
+        > <details>
+        > <summary>Is <code>mypy</code> failing?</summary>
+        > <br/>
+        > <code>mypy</code> is run differently in CI. If the failure is related to this check, please use the following command to run it locally:
+        >
+        > ```bash
+        > # For mypy (substitute "3.10" with the failing version if needed)
+        > pre-commit run --hook-stage manual mypy-3.10
+        > ```
+        > </details>
+
 - name: comment-dco-failure
  description: Comment on PR when DCO check fails
  conditions:
@@ -94,19 +103,6 @@ pull_request_rules:
      add:
        - frontend

- name: label-rust
-  description: Automatically apply rust label
-  conditions:
-    - label != stale
-    - or:
-      - files~=(?i)rust
-      - title~=(?i)rust
-      - title~=(?i)vllm-rs
-  actions:
-    label:
-      add:
-        - rust
-
 - name: label-llama
  description: Automatically apply llama label
  conditions:
@@ -144,12 +140,12 @@ pull_request_rules:
    - label != stale
    - or:
      - files~=^examples/.*mistral.*\.py
-      - files~=^tests/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
-      - files~=^vllm/model_executor/models/.*(?:mistral|voxtral|mixtral|pixtral).*\.py
+      - files~=^tests/.*mistral.*\.py
+      - files~=^vllm/model_executor/models/.*mistral.*\.py
      - files~=^vllm/reasoning/.*mistral.*\.py
      - files~=^vllm/tool_parsers/.*mistral.*\.py
-      - files~=^vllm/transformers_utils/.*(?:mistral|voxtral|pixtral).*\.py
-      - title~=(?i)(?:mistral|ministral|voxtral|mixtral|pixtral)
+      - files~=^vllm/transformers_utils/.*mistral.*\.py
+      - title~=(?i)Mistral
  actions:
    label:
      add:
@@ -388,13 +384,9 @@ pull_request_rules:
    - or:
      - files~=^tests/tool_use/
      - files~=^tests/tool_parsers/
-      - files~=^tests/parser/
-      - files~=^tests/reasoning/
      - files~=^tests/entrypoints/openai/.*tool.*
      - files~=^tests/entrypoints/anthropic/.*tool.*
      - files~=^vllm/tool_parsers/
-      - files~=^vllm/parser/
-      - files~=^vllm/reasoning/
      - files=docs/features/tool_calling.md
      - files~=^examples/tool_calling/
  actions:
@@ -10,7 +10,7 @@ jobs:
        runs-on: ubuntu-latest
        steps:
            -   name: Add label
-                uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+                uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
                with:
                    script: |
                        github.rest.issues.addLabels({
@@ -14,7 +14,7 @@ jobs:
    steps:
      - name: Label issues based on keywords
        id: label-step
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3  # v9.0.0
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd  # v8.0.0
        with:
          script: |
            // Configuration: Add new labels and keywords here
@@ -315,7 +315,7 @@ jobs:

      - name: CC users for labeled issues
        if: steps.label-step.outputs.labels_added != '[]'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3  # v9.0.0
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd  # v8.0.0
        with:
          script: |
            // Configuration: Map labels to GitHub users to CC
@@ -327,7 +327,7 @@ jobs:
                message: 'CC {users} for ROCm-related issue',
              },
              mistral: {
-                users: ['patrickvonplaten', 'juliendenize', 'andylolu2', 'NickLucche'],
+                users: ['patrickvonplaten', 'juliendenize', 'andylolu2'],
                message: 'CC {users} for Mistral-related issue',
              },
              // Add more label -> user mappings here
@@ -392,7 +392,7 @@ jobs:

      - name: Request missing ROCm info from issue author
        if: contains(steps.label-step.outputs.labels_added, 'rocm') && contains(toJSON(github.event.issue.labels.*.name), 'bug')
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3  # v9.0.0
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd  # v8.0.0
        with:
          script: |
            const body = (context.payload.issue.body || '').toLowerCase();
@@ -11,25 +11,13 @@ permissions:

 jobs:
  macos-m1-smoke-test:
-    # macos-26 (the supported target) is still a preview runner, so gate on GA
-    # macos-15 and keep macos-26 non-blocking.
-    strategy:
-      fail-fast: false
-      matrix:
-        include:
-          - os: macos-15
-            required: true
-          - os: macos-26
-            required: false
-    name: macos-m1-smoke-test (${{ matrix.os }})
-    runs-on: ${{ matrix.os }}
-    continue-on-error: ${{ !matrix.required }}
+    runs-on: macos-latest
    timeout-minutes: 30

    steps:
-      - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
+      - uses: actions/checkout@v6.0.1

-      - uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+      - uses: astral-sh/setup-uv@v7
        with:
          enable-cache: true
          cache-dependency-glob: |
@@ -84,11 +72,14 @@ jobs:
          # Test health endpoint
          curl -f http://localhost:8000/health

-          # Long prompt: hits the split-KV path that short prompts skip (#46769).
-          PAYLOAD=$(python -c "import json; print(json.dumps({'model': 'Qwen/Qwen3-0.6B', 'prompt': 'The quick brown fox jumps over the lazy dog. ' * 24, 'max_tokens': 16}))")
-          curl -f --max-time 120 http://localhost:8000/v1/completions \
+          # Test completion
+          curl -f http://localhost:8000/v1/completions \
            -H "Content-Type: application/json" \
-            -d "$PAYLOAD"
+            -d '{
+              "model": "Qwen/Qwen3-0.6B",
+              "prompt": "Hello",
+              "max_tokens": 5
+            }'

          # Cleanup
          kill "$SERVER_PID"
@@ -12,7 +12,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Update PR description
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -55,7 +55,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
      - name: Post welcome comment for first-time contributors
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -20,7 +20,7 @@ jobs:
    runs-on: ubuntu-latest
    steps:
    - name: Check PR label and author merge count
-      uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+      uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8.0.0
      with:
        script: |
          const { data: pr } = await github.rest.pulls.get({
@@ -46,16 +46,12 @@ jobs:
  pre-commit:
    needs: pre-run-check
    if: always() && (needs.pre-run-check.result == 'success' || needs.pre-run-check.result == 'skipped')
-    runs-on: [self-hosted, linux, x64, vllm-runners]
+    runs-on: ubuntu-latest
    steps:
-    - uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
-    - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6.3.0
+    - uses: actions/checkout@8e8c483db84b4bee98b60c0593521ed34d9990e8 # v6.0.1
+    - uses: actions/setup-python@83679a892e2d95755f2dac6acb0bfd1e9ac5d548 # v6.1.0
      with:
        python-version: "3.12"
-    # Provide shellcheck on PATH so tools/pre_commit/shellcheck.sh skips its
-    # wget + tar -xJ self-download, which the self-hosted runner image lacks
-    # (no wget/xz). Pinned to shellcheck 0.10.0 to match the script's "stable".
-    - run: python -m pip install shellcheck-py==0.10.0.1
    - run: echo "::add-matcher::.github/workflows/matchers/actionlint.json"
    - run: echo "::add-matcher::.github/workflows/matchers/markdownlint.json"
    - run: echo "::add-matcher::.github/workflows/matchers/mypy.json"
@@ -9,7 +9,7 @@ PATH=${cuda_home}/bin:$PATH
 LD_LIBRARY_PATH=${cuda_home}/lib64:$LD_LIBRARY_PATH

 # Install requirements
-if [ "$(echo "$2" | cut -d. -f1)" = "12" ]; then
+if [ "$(echo $2 | cut -d. -f1)" = "12" ]; then
    sed -i 's/^nvidia-cutlass-dsl\[cu13\]>=/nvidia-cutlass-dsl>=/' requirements/cuda.txt
 fi
 $python_executable -m pip install -r requirements/build/cuda.txt -r requirements/cuda.txt
@@ -17,10 +17,7 @@ $python_executable -m pip install -r requirements/build/cuda.txt -r requirements
 # Limit the number of parallel jobs to avoid OOM
 export MAX_JOBS=1
 # Make sure release wheels are built for the following architectures
-# Do not add +PTX here: vLLM filters torch's top-level PTX flag when it
-# converts global gencode flags into per-kernel arch lists. If a specific
-# kernel needs PTX, add +PTX to that kernel's CMake arch list instead.
-export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0"
+export TORCH_CUDA_ARCH_LIST="7.5 8.0 8.6 8.9 9.0 10.0 12.0+PTX"

 bash tools/check_repo.sh

@@ -15,7 +15,7 @@ jobs:
      actions: write
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v10.3.0
+      - uses: actions/stale@997185467fa4f803885201cee163a9f38240193d # v10.1.1
        with:
          # Increasing this value ensures that changes to this workflow
          # propagate to all issues and PRs in days rather than months
@@ -15,9 +15,6 @@ vllm/third_party/flashmla/flash_mla_interface.py
 # DeepGEMM vendored package built from source
 vllm/third_party/deep_gemm/

-# fmha_sm100 vendored package built from source
-vllm/third_party/fmha_sm100/
-
 # triton jit
 .triton

@@ -199,9 +196,7 @@ cython_debug/
 .vscode/

 # Claude
-.claude/*
-!.claude/skills/
-!.claude/skills/**
+.claude/

 # Codex
 .codex/
@@ -238,7 +233,7 @@ actionlint
 shellcheck*/

 # Ignore moe/marlin_moe gen code
-csrc/libtorch_stable/moe/marlin_moe_wna16/kernel_*
+csrc/moe/marlin_moe_wna16/kernel_*

 # Ignore ep_kernels_workspace folder
 ep_kernels_workspace/
@@ -21,7 +21,7 @@ repos:
  rev: v21.1.2
  hooks:
  - id: clang-format
-    exclude: 'csrc/libtorch_stable/moe/topk_softmax_kernels.cu|vllm/third_party/.*'
+    exclude: 'csrc/(moe/topk_softmax_kernels.cu|quantization/gguf/(ggml-common.h|dequantize.cuh|vecdotq.cuh|mmq.cuh|mmvq.cuh))|vllm/third_party/.*'
    types_or: [c++, cuda]
    args: [--style=file, --verbose]
 - repo: https://github.com/DavidAnson/markdownlint-cli2
@@ -131,19 +131,6 @@ repos:
        --python-version, "3.12",
      ]
      files: ^requirements/(common|xpu|test/xpu)\.(in|txt)$
-    - id: pip-compile
-      alias: pip-compile-cpu
-      name: pip-compile-cpu
-      args: [
-        requirements/test/cuda.in,
-        -o, requirements/test/cpu.txt,
-        --index-strategy, unsafe-best-match,
-        --torch-backend, cpu,
-        --python-platform, x86_64-manylinux_2_28,
-        --python-version, "3.12",
-      ]
-      files: ^requirements/(common|cpu|test/(cuda|cpu))\.(in|txt)$
-      exclude: ^requirements/test/cuda\.txt$
    - id: pip-compile
      alias: pip-compile-docs
      name: pip-compile-docs
@@ -161,27 +148,33 @@ repos:
    language: python
    entry: python tools/pre_commit/generate_nightly_torch_test.py
    files: ^requirements/test/cuda\.(in|txt)$
-  - id: mypy-3.10 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
-    name: Run mypy for Python 3.10
-    entry: python tools/pre_commit/mypy.py "3.10"
+  - id: mypy-local
+    name: Run mypy locally for lowest supported Python version
+    entry: python tools/pre_commit/mypy.py 0 "3.10"
+    stages: [pre-commit] # Don't run in CI
    <<: &mypy_common
      language: python
      types_or: [python, pyi]
      require_serial: true
-      additional_dependencies: ["mypy==1.20.2", regex, types-cachetools, types-setuptools, types-PyYAML, types-requests, types-torch, pydantic]
+      additional_dependencies: ["mypy[faster-cache]==1.19.1", regex, types-cachetools, types-setuptools, types-PyYAML, types-requests, types-torch, pydantic]
+  - id: mypy-3.10 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
+    name: Run mypy for Python 3.10
+    entry: python tools/pre_commit/mypy.py 1 "3.10"
+    <<: *mypy_common
+    stages: [manual] # Only run in CI
  - id: mypy-3.11 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
    name: Run mypy for Python 3.11
-    entry: python tools/pre_commit/mypy.py "3.11"
+    entry: python tools/pre_commit/mypy.py 1 "3.11"
    <<: *mypy_common
    stages: [manual] # Only run in CI
  - id: mypy-3.12 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
    name: Run mypy for Python 3.12
-    entry: python tools/pre_commit/mypy.py "3.12"
+    entry: python tools/pre_commit/mypy.py 1 "3.12"
    <<: *mypy_common
    stages: [manual] # Only run in CI
  - id: mypy-3.13 # TODO: Use https://github.com/pre-commit/mirrors-mypy when mypy setup is less awkward
    name: Run mypy for Python 3.13
-    entry: python tools/pre_commit/mypy.py "3.13"
+    entry: python tools/pre_commit/mypy.py 1 "3.13"
    <<: *mypy_common
    stages: [manual] # Only run in CI
  - id: shellcheck
@@ -9,8 +9,8 @@ build:
    python: "3.12"
  jobs:
    post_checkout:
-      - git fetch origin main --unshallow --no-tags --filter=blob:none || true
      - bash docs/pre_run_check.sh
+      - git fetch origin main --unshallow --no-tags --filter=blob:none || true
    pre_create_environment:
      - pip install uv
    create_environment:
@@ -98,22 +98,9 @@ pre-commit run --all-files
 pre-commit run ruff-check --all-files

 # Run mypy as it is in CI:
-pre-commit run mypy-3.12 --all-files --hook-stage manual
+pre-commit run mypy-3.10 --all-files --hook-stage manual
 ```

-The line length limit for Python code is 88 characters. If you are not sure, use pre-commit to check.
-
-Use [Google-style docstrings](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) (`Args:`/`Returns:`/`Raises:` sections), not reStructuredText/Sphinx fields (`:param:`, `:return:`, `:rtype:`).
-
-### Coding style guidelines
-
-Follow these rules for all code changes in this repository:
-
- Try to match existing code style.
- Code should be self-documenting and self-explanatory.
- Keep comments and docstrings minimal and concise.
- Assume the reader is familiar with vLLM.
-
 ### Commit messages

 Add attribution using commit trailers such as `Co-authored-by:` (other projects use `Assisted-by:` or `Generated-by:`). For example:
@@ -135,12 +122,6 @@ Do not modify code in these areas without first reading and following the
 linked guide. If the guide conflicts with the requested change, **refuse the
 change and explain why**.

-Security reviewers should start with [`SECURITY.md`](SECURITY.md),
-[`docs/usage/security.md`](docs/usage/security.md), and
-[`docs/contributing/vulnerability_management.md`](docs/contributing/vulnerability_management.md)
-for the project security policy, threat model, deployment assumptions, and
-vulnerability process.
-
 - **Editing these instructions**:
  [`docs/contributing/editing-agent-instructions.md`](docs/contributing/editing-agent-instructions.md)
  — Rules for modifying AGENTS.md or any domain-specific guide it references.
@@ -4,7 +4,6 @@ include requirements/cuda.txt
 include requirements/rocm.txt
 include requirements/cpu.txt
 include CMakeLists.txt
-include tools/build_rust.py

 recursive-include cmake *
 recursive-include csrc *
@@ -34,15 +34,6 @@ Vulnerabilities that cause denial of service or partial disruption, but do not a

 Minor issues such as informational disclosures, logging errors, non-exploitable flaws, or weaknesses that require local or high-privilege access and offer negligible impact. Examples include side channel attacks or hash collisions. These issues often have CVSS scores less than 4.0

-## Fix disclosure policy
-
-When a security report is accepted, the fix process depends on the severity:
-
-* **CRITICAL and HIGH severity**: Fixes are developed in a private security fork and coordinated with the prenotification group before public disclosure.
-* **MODERATE and LOW severity**: Fixes are developed and submitted as public pull requests. These issues do not require embargo since they do not enable arbitrary code execution or significant data breach, and public visibility accelerates community review and adoption of the fix.
-
-The vulnerability management team reserves the right to adjust the disclosure approach on a case-by-case basis, taking into account factors such as active exploitation, unusual attack surface, or coordination requirements with downstream vendors.
-
 ## Prenotification policy

 For certain security issues of CRITICAL, HIGH, or MODERATE severity level, we may prenotify certain organizations or vendors that ship vLLM. The purpose of this prenotification is to allow for a coordinated release of fixes for severe issues.
@@ -108,6 +108,7 @@ python benchmark.py \
    --backends flash triton flashinfer \
    --batch-specs "q2k" "8q1s1k" "2q2k_32q1s1k" \
    --num-layers 10 \
+    --repeats 5 \
    --output-csv results.csv
 ```

@@ -163,17 +164,14 @@ python benchmark.py \
 # Model configuration
 --num-layers N                      # Number of layers
 --head-dim N                        # Head dimension
--v-head-dim N                      # Value head dimension (defaults to --head-dim)
 --num-q-heads N                     # Query heads
 --num-kv-heads N                    # KV heads
 --block-size N                      # Block size
--kv-lora-rank N                    # MLA KV LoRA rank
--qk-nope-head-dim N                # MLA non-RoPE QK head dim
--qk-rope-head-dim N                # MLA RoPE QK head dim

 # Benchmark settings
 --device DEVICE                     # Device (default: cuda:0)
--warmup-ms N                       # Warmup window in ms for triton do_bench
+--repeats N                         # Repetitions
+--warmup-iters N                    # Warmup iterations
 --profile-memory                    # Profile memory usage

 # Parameter sweeps
@@ -213,6 +211,8 @@ config = BenchmarkConfig(
    num_kv_heads=1,
    block_size=128,
    device="cuda:0",
+    repeats=5,
+    warmup_iters=3,
 )

 # CUTLASS MLA with specific num_kv_splits
@@ -253,10 +253,14 @@ formatter.save_json(results, "output.json")

 ## Tips

-**1. Save results** - Always use `--output-csv` or `--output-json`
+**1. Warmup matters** - Use `--warmup-iters 10` for stable results

-**2. Test incrementally** - Start with `--num-layers 1`
+**2. Multiple repeats** - Use `--repeats 20` for low variance

-**3. Extended grammar** - Leverage spec decode, chunked prefill patterns
+**3. Save results** - Always use `--output-csv` or `--output-json`

-**4. Parameter sweeps** - Use `--sweep-param` and `--sweep-values` to find optimal values
+**4. Test incrementally** - Start with `--num-layers 1 --repeats 1`
+
+**5. Extended grammar** - Leverage spec decode, chunked prefill patterns
+
+**6. Parameter sweeps** - Use `--sweep-param` and `--sweep-values` to find optimal values
@@ -26,9 +26,6 @@ Examples:
 """

 import argparse
-import os
-import shutil
-import subprocess
 import sys
 from dataclasses import replace
 from pathlib import Path
@@ -53,16 +50,6 @@ from common import (
 from vllm.v1.worker.workspace import init_workspace_manager


-def _str2bool(v) -> bool:
-    if isinstance(v, bool):
-        return v
-    if v.lower() in ("true", "1", "yes", "t"):
-        return True
-    if v.lower() in ("false", "0", "no", "f"):
-        return False
-    raise argparse.ArgumentTypeError(f"expected a boolean, got {v!r}")
-
-
 def run_standard_attention_benchmark(config: BenchmarkConfig) -> BenchmarkResult:
    """Run standard attention benchmark (Flash/Triton/FlashInfer)."""
    from runner import run_attention_benchmark
@@ -96,15 +83,13 @@ def run_benchmark(config: BenchmarkConfig, **kwargs) -> BenchmarkResult:
        else:
            return run_standard_attention_benchmark(config)
    except Exception as e:
-        error_msg = str(e) or repr(e)
        return BenchmarkResult(
            config=config,
            mean_time=float("inf"),
-            median_time=float("inf"),
            std_time=0,
            min_time=float("inf"),
            max_time=float("inf"),
-            error=error_msg,
+            error=str(e),
        )


@@ -130,12 +115,9 @@ def run_model_parameter_sweep(
    """
    all_results = []

-    sweep_desc = (
-        f"{sweep.param_name} = {sweep.values}"
-        if sweep.param_name
-        else f"{len(sweep.values)} configurations"
+    console.print(
+        f"[yellow]Model sweep mode: testing {sweep.param_name} = {sweep.values}[/]"
    )
-    console.print(f"[yellow]Model sweep mode: testing {sweep_desc}[/]")

    total = len(backends) * len(batch_specs) * len(sweep.values)

@@ -143,9 +125,9 @@ def run_model_parameter_sweep(
        for backend in backends:
            for spec in batch_specs:
                for value in sweep.values:
-                    # Create config with modified model parameter(s)
+                    # Create config with modified model parameter
                    config_args = base_config_args.copy()
-                    sweep.apply(config_args, value)
+                    config_args[sweep.param_name] = value

                    # Create config with original backend for running
                    clean_config = BenchmarkConfig(
@@ -162,21 +144,13 @@ def run_model_parameter_sweep(
                    all_results.append(result)

                    if not result.success:
-                        err_label = (
-                            f"{sweep.param_name}={value}"
-                            if sweep.param_name
-                            else f"{value}"
-                        )
                        console.print(
-                            f"[red]Error {backend} {spec} {err_label}"
-                            f": {result.error}[/]"
+                            f"[red]Error {backend} {spec} {sweep.param_name}="
+                            f"{value}: {result.error}[/]"
                        )

                    pbar.update(1)

-    if base_config_args.get("ncu_profile"):
-        return all_results
-
    # Display sweep results - create separate table for each parameter value
    console.print("\n[bold green]Model Parameter Sweep Results:[/]")
    formatter = ResultsFormatter(console)
@@ -210,10 +184,7 @@ def run_model_parameter_sweep(
    )

    for param_value in sorted_param_values:
-        label = (
-            f"{sweep.param_name} = {param_value}" if sweep.param_name else param_value
-        )
-        console.print(f"\n[bold cyan]{label}[/]")
+        console.print(f"\n[bold cyan]{sweep.param_name} = {param_value}[/]")
        param_results = by_param_value[param_value]

        # Create modified results with original backend names
@@ -229,9 +200,8 @@ def run_model_parameter_sweep(
        formatter.print_table(modified_results, backends, compare_to_fastest=True)

    # Show optimal backend for each (param_value, batch_spec) combination
-    sweep_name = sweep.param_name or "config"
    console.print(
-        f"\n[bold cyan]Optimal backend for each ({sweep_name}, batch_spec):[/]"
+        f"\n[bold cyan]Optimal backend for each ({sweep.param_name}, batch_spec):[/]"
    )

    # Group by (param_value, batch_spec)
@@ -266,10 +236,7 @@ def run_model_parameter_sweep(
    for param_value, spec in sorted_keys:
        # Print header when param value changes
        if param_value != current_param_value:
-            header = (
-                f"{sweep.param_name}={param_value}" if sweep.param_name else param_value
-            )
-            console.print(f"\n  [bold]{header}:[/]")
+            console.print(f"\n  [bold]{sweep.param_name}={param_value}:[/]")
            current_param_value = param_value

        results = by_param_and_spec[(param_value, spec)]
@@ -355,9 +322,6 @@ def run_parameter_sweep(

                    pbar.update(1)

-    if base_config_args.get("ncu_profile"):
-        return all_results
-
    # Display sweep results
    console.print("\n[bold green]Sweep Results:[/]")
    backend_labels = [sweep.get_label(b, v) for b in backends for v in sweep_values]
@@ -495,20 +459,6 @@ def main():
        help="Prefill backends to compare (fa2, fa3, fa4). "
        "Uses the first decode backend for impl construction.",
    )
-    parser.add_argument(
-        "--fp8-output-scale",
-        type=float,
-        help="Static per-tensor scale enabling the MLA prefill FP8-output "
-        "comparison on FA4 (fused write vs standalone post-quant).",
-    )
-    parser.add_argument(
-        "--fuse-quant-op",
-        nargs="+",
-        type=_str2bool,
-        help="FP8-output write path(s) to run: false = bf16 attention + "
-        "standalone static-FP8 quant, true = FA4 writes FP8 directly. "
-        "Default: both.",
-    )

    # Batch specifications
    parser.add_argument(
@@ -524,35 +474,11 @@ def main():
    parser.add_argument("--num-q-heads", type=int, default=32, help="Query heads")
    parser.add_argument("--num-kv-heads", type=int, default=8, help="KV heads")
    parser.add_argument("--block-size", type=int, default=16, help="Block size")
-    parser.add_argument(
-        "--v-head-dim",
-        type=int,
-        default=None,
-        help="Value head dimension (defaults to --head-dim if unset)",
-    )
-
-    # MLA-specific model dimensions
-    parser.add_argument(
-        "--kv-lora-rank", type=int, default=None, help="MLA KV LoRA rank"
-    )
-    parser.add_argument(
-        "--qk-nope-head-dim", type=int, default=None, help="MLA non-RoPE QK head dim"
-    )
-    parser.add_argument(
-        "--qk-rope-head-dim", type=int, default=None, help="MLA RoPE QK head dim"
-    )

    # Benchmark settings
    parser.add_argument("--device", default="cuda:0", help="Device")
-    parser.add_argument(
-        "--warmup-ms",
-        type=int,
-        default=None,
-        help=(
-            "Warmup window in ms for triton's do_bench (default: triton's own). "
-            "Has no effect with CUDA graphs; pass --no-cuda-graphs to use it."
-        ),
-    )
+    parser.add_argument("--repeats", type=int, default=1, help="Repetitions")
+    parser.add_argument("--warmup-iters", type=int, default=3, help="Warmup iterations")
    parser.add_argument("--profile-memory", action="store_true", help="Profile memory")
    parser.add_argument(
        "--kv-cache-dtype",
@@ -565,33 +491,10 @@ def main():
        action=argparse.BooleanOptionalAction,
        default=True,
        help=(
-            "Use triton do_bench_cudagraph (True) or do_bench (False) "
-            "for timing. CUDA graphs eliminate CPU launch overhead "
-            "(default: True)"
+            "Launch kernels with CUDA graphs to eliminate CPU overhead"
+            "in measurements (default: True)"
        ),
    )
-    parser.add_argument(
-        "--num-splits",
-        type=int,
-        default=None,
-        help="FlashAttention split-K factor (0=auto heuristic, 1=disabled, >1=force N)",
-    )
-    parser.add_argument(
-        "--ncu-profile",
-        action="store_true",
-        default=False,
-        help=(
-            "Enable Nsight Compute profiling mode. Automatically wraps the "
-            "script with ncu, capturing a profile with source correlation. "
-            "Use --ncu-output to set the output file name."
-        ),
-    )
-    parser.add_argument(
-        "--ncu-output",
-        type=str,
-        default="profile",
-        help="Output file name for ncu profile (default: 'profile').",
-    )

    # Parameter sweep (use YAML config for advanced sweeps)
    parser.add_argument(
@@ -642,12 +545,6 @@ def main():
        # Prefill backends (e.g., ["fa3", "fa4"])
        args.prefill_backends = yaml_config.get("prefill_backends", None)

-        # FP8 output benchmark knobs; CLI wins.
-        if args.fp8_output_scale is None:
-            args.fp8_output_scale = yaml_config.get("fp8_output_scale", None)
-        if args.fuse_quant_op is None:
-            args.fuse_quant_op = yaml_config.get("fuse_quant_op", None)
-
        # Check for special modes
        args.mode = yaml_config.get("mode", None)

@@ -679,28 +576,23 @@ def main():
            model = yaml_config["model"]
            args.num_layers = model.get("num_layers", args.num_layers)
            args.head_dim = model.get("head_dim", args.head_dim)
-            args.v_head_dim = model.get("v_head_dim", args.v_head_dim)
            args.num_q_heads = model.get("num_q_heads", args.num_q_heads)
            args.num_kv_heads = model.get("num_kv_heads", args.num_kv_heads)
            args.block_size = model.get("block_size", args.block_size)
-            # MLA-specific dimensions
-            args.kv_lora_rank = model.get("kv_lora_rank", args.kv_lora_rank)
-            args.qk_nope_head_dim = model.get("qk_nope_head_dim", args.qk_nope_head_dim)
-            args.qk_rope_head_dim = model.get("qk_rope_head_dim", args.qk_rope_head_dim)

        # Benchmark settings (top-level keys)
        if "device" in yaml_config:
            args.device = yaml_config["device"]
-        if "warmup_ms" in yaml_config:
-            args.warmup_ms = yaml_config["warmup_ms"]
+        if "repeats" in yaml_config:
+            args.repeats = yaml_config["repeats"]
+        if "warmup_iters" in yaml_config:
+            args.warmup_iters = yaml_config["warmup_iters"]
        if "profile_memory" in yaml_config:
            args.profile_memory = yaml_config["profile_memory"]
        if "kv_cache_dtype" in yaml_config:
            args.kv_cache_dtype = yaml_config["kv_cache_dtype"]
        if "cuda_graphs" in yaml_config:
            args.cuda_graphs = yaml_config["cuda_graphs"]
-        if "ncu_profile" in yaml_config:
-            args.ncu_profile = yaml_config["ncu_profile"]

        # Parameter sweep configuration
        if "parameter_sweep" in yaml_config:
@@ -720,7 +612,7 @@ def main():
        if "model_parameter_sweep" in yaml_config:
            sweep_config = yaml_config["model_parameter_sweep"]
            args.model_parameter_sweep = ModelParameterSweep(
-                param_name=sweep_config.get("param_name"),
+                param_name=sweep_config["param_name"],
                values=sweep_config["values"],
                label_format=sweep_config.get(
                    "label_format", "{backend}_{param_name}_{value}"
@@ -739,32 +631,6 @@ def main():

        console.print()

-    # Re-exec under ncu if --ncu-profile and not already inside ncu. This runs
-    # after YAML processing so ncu_profile set via config file is honored.
-    if args.ncu_profile and "_NCU_INNER" not in os.environ:
-        ncu = shutil.which("ncu")
-        if ncu is None:
-            print("Error: 'ncu' not found in PATH", file=sys.stderr)
-            sys.exit(1)
-        cmd = [
-            ncu,
-            "--profile-from-start",
-            "off",
-            "--set",
-            "full",
-            "--import-source",
-            "yes",
-            "-o",
-            args.ncu_output,
-            sys.executable,
-            *sys.argv,
-        ]
-        env = os.environ.copy()
-        env["CUTE_DSL_LINEINFO"] = "1"
-        env["_NCU_INNER"] = "1"
-        print(f"Launching: {' '.join(cmd)}")
-        sys.exit(subprocess.call(cmd, env=env))
-
    # Handle CLI-based parameter sweep (if not from YAML)
    if (
        (not hasattr(args, "parameter_sweep") or args.parameter_sweep is None)
@@ -789,18 +655,6 @@ def main():
    console.print(f"Batch specs: {', '.join(args.batch_specs)}")
    console.print(f"KV cache dtype: {args.kv_cache_dtype}")
    console.print(f"CUDA graphs: {args.cuda_graphs}")
-    if args.warmup_ms is not None and args.cuda_graphs:
-        console.print(
-            "[yellow]Warning: --warmup-ms is ignored with CUDA graphs "
-            "(do_bench_cudagraph warms up internally). Pass --no-cuda-graphs "
-            "to use it.[/]"
-        )
-    if args.num_splits == 0 and args.cuda_graphs:
-        console.print(
-            "[yellow]Warning: --num-splits 0 (FA3 heuristic) is not CUDA-graph "
-            "compatible and may fail or fall back. Pass --no-cuda-graphs or use "
-            "--num-splits >=1.[/]"
-        )
    console.print()

    init_workspace_manager(args.device)
@@ -808,68 +662,8 @@ def main():
    # Run benchmarks
    all_results = []

-    # Under ncu profiling the kernels run only to be captured by the profiler;
-    # timings are placeholder zeros, so the result tables and saved metrics are
-    # skipped. The Nsight Compute report (--ncu-output) holds the real data.
-    if args.ncu_profile:
-        console.print(
-            "[dim]ncu profiling enabled: result tables and saved metrics are "
-            "skipped (timings are placeholder zeros).[/]"
-        )
-
-    # FA4 fused FP8 output vs standalone post-quant, on the same fa4 kernel:
-    # the delta is the post-quant kernel the fused path removes.
-    fp8_output_scale = getattr(args, "fp8_output_scale", None)
-    if fp8_output_scale is not None:
-        decode_backend = backends[0]
-        fuse_variants = args.fuse_quant_op or [False, True]
-        label_of = {False: "post_quant", True: "fused"}
-        console.print(
-            f"[yellow]FP8 output comparison @ scale={fp8_output_scale} "
-            f"(prefill=fa4, decode impl={decode_backend})[/]"
-        )
-        fp8_results = []
-        total = len(fuse_variants) * len(args.batch_specs)
-        with tqdm(total=total, desc="FP8 output benchmarking") as pbar:
-            for spec in args.batch_specs:
-                for fuse in fuse_variants:
-                    config = BenchmarkConfig(
-                        backend=decode_backend,
-                        batch_spec=spec,
-                        num_layers=args.num_layers,
-                        head_dim=args.head_dim,
-                        num_q_heads=args.num_q_heads,
-                        num_kv_heads=args.num_kv_heads,
-                        block_size=args.block_size,
-                        device=args.device,
-                        repeats=args.repeats,
-                        warmup_iters=args.warmup_iters,
-                        profile_memory=args.profile_memory,
-                        kv_cache_dtype=args.kv_cache_dtype,
-                        use_cuda_graphs=args.cuda_graphs,
-                        prefill_backend="fa4",
-                    )
-                    result = run_benchmark(
-                        config, output_scale=fp8_output_scale, fuse_quant_op=fuse
-                    )
-                    label = label_of[fuse]
-                    labeled_config = replace(result.config, backend=label)
-                    result = replace(result, config=labeled_config)
-                    fp8_results.append(result)
-
-                    if not result.success:
-                        console.print(f"[red]Error {label} {spec}: {result.error}[/]")
-
-                    pbar.update(1)
-
-        console.print("\n[bold green]FP8 Output Results:[/]")
-        formatter = ResultsFormatter(console)
-        labels = [label_of[f] for f in fuse_variants]
-        formatter.print_table(fp8_results, labels, compare_to_fastest=True)
-        all_results = fp8_results
-
    # Handle special mode: decode_vs_prefill comparison
-    elif hasattr(args, "mode") and args.mode == "decode_vs_prefill":
+    if hasattr(args, "mode") and args.mode == "decode_vs_prefill":
        console.print("[yellow]Mode: Decode vs Prefill pipeline comparison[/]")
        console.print(
            "[dim]For each query length, testing both decode and prefill pipelines[/]"
@@ -914,11 +708,11 @@ def main():
                        num_kv_heads=args.num_kv_heads,
                        block_size=args.block_size,
                        device=args.device,
+                        repeats=args.repeats,
+                        warmup_iters=args.warmup_iters,
                        profile_memory=args.profile_memory,
                        kv_cache_dtype=args.kv_cache_dtype,
                        use_cuda_graphs=args.cuda_graphs,
-                        ncu_profile=args.ncu_profile,
-                        warmup_ms=args.warmup_ms,
                    )

                    # Add decode pipeline config
@@ -955,7 +749,6 @@ def main():
                        result = BenchmarkResult(
                            config=config,
                            mean_time=timing["mean"],
-                            median_time=timing.get("median", timing["mean"]),
                            std_time=timing["std"],
                            min_time=timing["min"],
                            max_time=timing["max"],
@@ -977,7 +770,6 @@ def main():
                        result = BenchmarkResult(
                            config=config,
                            mean_time=float("inf"),
-                            median_time=float("inf"),
                            std_time=0,
                            min_time=float("inf"),
                            max_time=float("inf"),
@@ -987,9 +779,6 @@ def main():

                pbar.update(1)

-        if args.ncu_profile:
-            return
-
        # Display decode vs prefill results
        console.print("\n[bold green]Decode vs Prefill Results:[/]")

@@ -1069,20 +858,15 @@ def main():
        base_config_args = {
            "num_layers": args.num_layers,
            "head_dim": args.head_dim,
-            "v_head_dim": args.v_head_dim,
            "num_q_heads": args.num_q_heads,
            "num_kv_heads": args.num_kv_heads,
            "block_size": args.block_size,
            "device": args.device,
+            "repeats": args.repeats,
+            "warmup_iters": args.warmup_iters,
            "profile_memory": args.profile_memory,
            "kv_cache_dtype": args.kv_cache_dtype,
            "use_cuda_graphs": args.cuda_graphs,
-            "ncu_profile": args.ncu_profile,
-            "warmup_ms": args.warmup_ms,
-            "num_splits": args.num_splits,
-            "kv_lora_rank": args.kv_lora_rank,
-            "qk_nope_head_dim": args.qk_nope_head_dim,
-            "qk_rope_head_dim": args.qk_rope_head_dim,
        }
        all_results = run_model_parameter_sweep(
            backends,
@@ -1098,17 +882,15 @@ def main():
        base_config_args = {
            "num_layers": args.num_layers,
            "head_dim": args.head_dim,
-            "v_head_dim": args.v_head_dim,
            "num_q_heads": args.num_q_heads,
            "num_kv_heads": args.num_kv_heads,
            "block_size": args.block_size,
            "device": args.device,
+            "repeats": args.repeats,
+            "warmup_iters": args.warmup_iters,
            "profile_memory": args.profile_memory,
            "kv_cache_dtype": args.kv_cache_dtype,
            "use_cuda_graphs": args.cuda_graphs,
-            "ncu_profile": args.ncu_profile,
-            "warmup_ms": args.warmup_ms,
-            "num_splits": args.num_splits,
        }
        all_results = run_parameter_sweep(
            backends, args.batch_specs, base_config_args, args.parameter_sweep, console
@@ -1132,17 +914,15 @@ def main():
                            batch_spec=spec,
                            num_layers=args.num_layers,
                            head_dim=args.head_dim,
-                            v_head_dim=getattr(args, "v_head_dim", None),
                            num_q_heads=args.num_q_heads,
                            num_kv_heads=args.num_kv_heads,
                            block_size=args.block_size,
                            device=args.device,
+                            repeats=args.repeats,
+                            warmup_iters=args.warmup_iters,
                            profile_memory=args.profile_memory,
                            kv_cache_dtype=args.kv_cache_dtype,
                            use_cuda_graphs=args.cuda_graphs,
-                            ncu_profile=args.ncu_profile,
-                            warmup_ms=args.warmup_ms,
-                            num_splits=args.num_splits,
                        )

                        result = run_benchmark(config)
@@ -1155,10 +935,9 @@ def main():

                        pbar.update(1)

-            if not args.ncu_profile:
-                console.print("\n[bold green]Results:[/]")
-                formatter = ResultsFormatter(console)
-                formatter.print_table(decode_results, backends)
+            console.print("\n[bold green]Results:[/]")
+            formatter = ResultsFormatter(console)
+            formatter.print_table(decode_results, backends)

        # Run prefill backend comparison
        if prefill_backends:
@@ -1183,8 +962,9 @@ def main():
                            num_kv_heads=args.num_kv_heads,
                            block_size=args.block_size,
                            device=args.device,
+                            repeats=args.repeats,
+                            warmup_iters=args.warmup_iters,
                            profile_memory=args.profile_memory,
-                            warmup_ms=args.warmup_ms,
                            prefill_backend=pb,
                        )

@@ -1200,17 +980,16 @@ def main():

                        pbar.update(1)

-            if not args.ncu_profile:
-                console.print("\n[bold green]Prefill Backend Results:[/]")
-                formatter = ResultsFormatter(console)
-                formatter.print_table(
-                    prefill_results, prefill_backends, compare_to_fastest=True
-                )
+            console.print("\n[bold green]Prefill Backend Results:[/]")
+            formatter = ResultsFormatter(console)
+            formatter.print_table(
+                prefill_results, prefill_backends, compare_to_fastest=True
+            )

        all_results = decode_results + prefill_results

-    # Save results (skip ncu profiling runs: timings are placeholder zeros)
-    if all_results and not args.ncu_profile:
+    # Save results
+    if all_results:
        formatter = ResultsFormatter(console)
        if args.output_csv:
            formatter.save_csv(all_results, args.output_csv)
@@ -15,8 +15,6 @@ from batch_spec import get_batch_type, parse_batch_spec
 from rich.console import Console
 from rich.table import Table

-from vllm.triton_utils import triton
-

 def batch_spec_sort_key(spec: str) -> tuple[int, int, int]:
    """
@@ -36,30 +34,6 @@ def batch_spec_sort_key(spec: str) -> tuple[int, int, int]:
        return (0, 0, 0)


-def run_do_bench(
-    benchmark_fn,
-    use_cuda_graphs: bool,
-    warmup_ms: int | None = None,
-) -> list[float]:
-    kwargs: dict[str, Any] = {"return_mode": "all"}
-    if use_cuda_graphs:
-        result = triton.testing.do_bench_cudagraph(benchmark_fn, **kwargs)
-    else:
-        if warmup_ms is not None:
-            kwargs["warmup"] = warmup_ms
-        result = triton.testing.do_bench(benchmark_fn, **kwargs)
-    return result
-
-
-def run_ncu_profile(benchmark_fn) -> None:
-    benchmark_fn()
-    torch.accelerator.synchronize()
-    torch.cuda.cudart().cudaProfilerStart()
-    benchmark_fn()
-    torch.accelerator.synchronize()
-    torch.cuda.cudart().cudaProfilerStop()
-
-
 # Mock classes for vLLM attention infrastructure


@@ -208,37 +182,18 @@ class ParameterSweep:

@dataclass
 class ModelParameterSweep:
-    """Configuration for sweeping model configuration parameter(s).
+    """Configuration for sweeping a model configuration parameter."""

-    Supports two modes:
-    - Single param: param_name="head_dim", values=[128, 256, 512]
-    - Multi param: values=[{head_dim: 192, v_head_dim: 128}, {head_dim: 256}]
-      When values are dicts, each dict's keys are applied as config overrides.
-    """
-
-    param_name: str | None = None
-    values: list[Any] | None = None
-    label_format: str = "{backend}_{param_name}_{value}"
+    param_name: str  # Name of the model config parameter to sweep (e.g., "num_q_heads")
+    values: list[Any]  # List of values to test
+    label_format: str = "{backend}_{param_name}_{value}"  # Result label template

    def get_label(self, backend: str, value: Any) -> str:
        """Generate a label for a specific parameter value."""
-        if isinstance(value, dict):
-            return self.label_format.format(
-                backend=backend, param_name=self.param_name, value=value, **value
-            )
        return self.label_format.format(
            backend=backend, param_name=self.param_name, value=value
        )

-    def apply(self, config_args: dict, value: Any) -> None:
-        """Apply a sweep value to config args."""
-        if isinstance(value, dict):
-            config_args.update(value)
-        elif self.param_name is not None:
-            config_args[self.param_name] = value
-        else:
-            raise ValueError("param_name must be set if sweep values are not dicts")
-

@dataclass
 class BenchmarkConfig:
@@ -253,10 +208,10 @@ class BenchmarkConfig:
    block_size: int
    device: str
    dtype: torch.dtype = torch.float16
+    repeats: int = 1
+    warmup_iters: int = 3
    profile_memory: bool = False
    use_cuda_graphs: bool = False
-    ncu_profile: bool = False
-    warmup_ms: int | None = None

    # "auto" or "fp8"
    kv_cache_dtype: str = "auto"
@@ -271,7 +226,6 @@ class BenchmarkConfig:
    # Backend-specific tuning
    num_kv_splits: int | None = None  # CUTLASS MLA
    reorder_batch_threshold: int | None = None  # FlashAttn MLA, FlashMLA
-    num_splits: int | None = None  # FlashAttention split-K (0=auto, 1=disabled)


@dataclass
@@ -280,7 +234,6 @@ class BenchmarkResult:

    config: BenchmarkConfig
    mean_time: float  # seconds
-    median_time: float  # seconds
    std_time: float  # seconds
    min_time: float  # seconds
    max_time: float  # seconds
@@ -299,7 +252,6 @@ class BenchmarkResult:
        return {
            "config": asdict(self.config),
            "mean_time": self.mean_time,
-            "median_time": self.median_time,
            "std_time": self.std_time,
            "min_time": self.min_time,
            "max_time": self.max_time,
@@ -56,6 +56,8 @@ backends:
  - TOKENSPEED_MLA  # Blackwell + R1 dims + FP8 KV (use --kv-cache-dtype fp8)

 device: "cuda:0"
+repeats: 100
+warmup_iters: 10
 profile_memory: true

 # Backend-specific tuning
@@ -1,44 +0,0 @@
-# MLA prefill FP8-output microbenchmark (FA4).
-# Compares the fused FP8 write against bf16 attention + a standalone static-FP8
-# quant; the delta is the post-quant kernel the fused path removes.
-# DeepSeek-Coder-V2-Lite dims; FA4 needs SM100/110.
-#
-# Usage:
-#   python benchmark.py --config configs/mla_fa4_fp8_output.yaml
-
-description: "MLA prefill FA4 fused-FP8 output vs post-quant"
-
-model:
-  name: "deepseek-v2-lite"
-  num_layers: 27
-  num_q_heads: 16
-  num_kv_heads: 1
-  head_dim: 576
-  kv_lora_rank: 512
-  qk_nope_head_dim: 128
-  qk_rope_head_dim: 64
-  v_head_dim: 128
-  block_size: 128
-
-# Pure prefill (q_len == kv_len) so every token goes through forward_mha.
-batch_specs:
-  - "q512"
-  - "q1k"
-  - "q2k"
-  - "q4k"
-  - "q8k"
-  - "2q4k"
-  - "4q4k"
-  - "8q4k"
-
-# Only used to construct the MLA impl; the pure-prefill specs skip decode.
-decode_backends:
-  - CUTLASS_MLA
-
-# Sweep the two FP8 write paths (prefill backend is fixed to fa4).
-fp8_output_scale: 0.1
-fuse_quant_op: [false, true]
-
-device: "cuda:0"
-repeats: 50
-warmup_iters: 10
@@ -51,6 +51,8 @@ backends:
  - FLASHMLA         # Hopper only

 device: "cuda:0"
+repeats: 5
+warmup_iters: 3
 profile_memory: true

 # Analyze chunked prefill workspace size impact
@@ -124,3 +124,5 @@ prefill_backends:
  - tokenspeed

 device: "cuda:0"
+repeats: 20
+warmup_iters: 5
@@ -53,4 +53,6 @@ backends:
  - FLASHINFER_MLA_SPARSE

 device: "cuda:0"
+repeats: 100
+warmup_iters: 10
 profile_memory: true
@@ -57,4 +57,6 @@ backends:
  - FLASHINFER_MLA_SPARSE

 device: "cuda:0"
+repeats: 10
+warmup_iters: 3
 profile_memory: true
@@ -63,6 +63,8 @@ model:

 # Benchmark settings
 device: "cuda:0"
+repeats: 15          # More repeats for spec decode variance
+warmup_iters: 5
 profile_memory: false

 # Output
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
khluuandClaude Opus 4.6	7607496638	[CI] Filter import-only files using function-level coverage Skip files where only module-level code ran (imports, class defs) but no named functions were actually called. Uses the functions_called field from stripped coverage JSON. Reduces false-positive mappings by ~78% — e.g. ompmultiprocessing.py drops from 73 steps to 0 (only used on CPU but imported everywhere). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-26 16:02:20 -07:00
khluu	2e120c2b2a	Merge main into worktree-coverage-test-mapping	2026-05-26 01:38:31 -07:00
khluuandClaude Opus 4.6	5798452d02	[CI] Support stripped coverage JSON format in aggregation The coverage export now strips per-line data to reduce artifact size. Update aggregation to handle both full format (summary.covered_lines) and stripped format (covered_lines directly). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-26 01:20:44 -07:00
khluuandClaude Opus 4.6	ca307c0f63	[CI] Fix coverage aggregation to filter zero-execution files coverage.py with source=vllm reports ALL files in the package tree, even those with 0 executed lines. Filter to only files with covered_lines > 0 so the mapping reflects actual runtime dependencies. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-21 03:41:19 -07:00
khluuandClaude Opus 4.6	08c4b0787c	[CI] Add coverage-based test mapping infrastructure (Phase 1) Add scripts to collect per-step test coverage during nightly CI runs. When COLLECT_COVERAGE=1 is set, pytest commands are wrapped with coverage.py tracing, and the resulting coverage data is uploaded as Buildkite artifacts. This enables building a mapping of {source_file -> [test_steps]} to automatically detect which tests need to run when a file changes, catching transitive dependencies that manual source_file_dependencies lists miss (e.g., vllm/model_executor/kernels/ affecting quantization, spec decode, and distributed tests). New files: - .buildkite/scripts/coverage/upload-step-coverage.sh: per-step export - .buildkite/scripts/coverage/aggregate-coverage.py: build combined map Companion change in ci-infra/pipeline_generator wraps pytest commands with coverage when COLLECT_COVERAGE=1. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-05-21 02:14:01 -07:00