agg.yaml

# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: vllm-agg
spec:
  services:
    Epp:
      envFromSecret: hf-token-secret
      componentType: epp
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/frontend-image:my-tag
          env:
            - name: DYN_KV_BLOCK_SIZE
              value: "16"
            - name: DYN_MODEL
              value: "Qwen/Qwen3-0.6B"  # Match your model
            - name: DYN_DISCOVERY_TIMEOUT
              value: "300"
      eppConfig:
        # This configuration uses Dynamo's KV-aware scorer for intelligent routing
        config:
          # Plugins define the behavior of EPP
          plugins:
            # Required: tells EPP which profile to use (even if you only have one)
            - type: single-profile-handler
            # Picker: chooses the final endpoint after scoring
            - name: picker
              type: max-score-picker
            - name: dyn-kv
              type: kv-aware-scorer
          # Scheduling profiles configure which plugins are used and their weights
          schedulingProfiles:
            - name: default
              plugins:
                - pluginRef: dyn-kv
                  weight: 1
                - pluginRef: picker
    Frontend:
      envFromSecret: hf-token-secret
      componentType: frontend
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          env:
            - name: DYN_LOG
              value: "debug,dynamo_llm::kv_router=trace"
            - name: DYN_STORE_KV
              value: "mem"
            - name: DYN_ROUTER_MODE
              value: "kv"
    VllmDecodeWorker:
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 1
      resources:
        limits:
          gpu: "1"
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          workingDir: /workspace/examples/backends/vllm
          command:
            - python3
            - -m
            - dynamo.vllm
          args:
            - --model
            - Qwen/Qwen3-0.6B
          env:
            - name: DYN_STORE_KV
              value: "mem"