# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Aggregated multimodal serving for Qwen VL with dynamic LoRA adapter support.
# Uses dynamo.vllm --enable-multimodal --enable-lora in a single-worker PD architecture
# where the Rust OpenAIPreprocessor in the Frontend handles image URLs directly.
#
# LoRA adapters are managed via the system API on DYN_SYSTEM_PORT:
#   Load:   curl -X POST http://<worker>:9090/v1/loras \
#             -H "Content-Type: application/json" \
#             -d '{"lora_name": "my-adapter", "source": {"uri": "s3://my-loras/adapter"}}'
#   List:   curl http://<worker>:9090/v1/loras
#   Unload: curl -X DELETE http://<worker>:9090/v1/loras/my-adapter
#
# Matches the pattern in: examples/multimodal/launch/lora/lora_agg.sh

apiVersion: nvidia.com/v1alpha1
kind: DynamoGraphDeployment
metadata:
  name: agg-qwen-multimodal-lora
spec:
  services:
    Frontend:
      envFromSecret: hf-token-secret
      componentType: frontend
      replicas: 1
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          env:
            - name: DYN_REQUEST_PLANE
              value: tcp
            - name: MODEL_PATH
              value: Qwen/Qwen3-VL-2B-Instruct
    VllmWorker:
      envFromSecret: hf-token-secret
      componentType: worker
      replicas: 1
      resources:
        limits:
          gpu: "1"
      modelRef:
        name: Qwen/Qwen3-VL-2B-Instruct
      extraPodSpec:
        mainContainer:
          image: nvcr.io/nvidia/ai-dynamo/vllm-runtime:my-tag
          env:
            - name: DYN_REQUEST_PLANE
              value: tcp
            - name: MODEL_PATH
              value: Qwen/Qwen3-VL-2B-Instruct
            - name: DYN_LORA_ENABLED
              value: "true"
            - name: DYN_LORA_PATH
              value: "/tmp/dynamo_loras_multimodal"
            - name: DYN_SYSTEM_ENABLED
              value: "true"
            - name: DYN_SYSTEM_PORT
              value: "9090"
            - name: AWS_ENDPOINT
              value: "http://minio:9000"
            - name: AWS_ACCESS_KEY_ID
              valueFrom:
                secretKeyRef:
                  name: minio-secret
                  key: AWS_ACCESS_KEY_ID
            - name: AWS_SECRET_ACCESS_KEY
              valueFrom:
                secretKeyRef:
                  name: minio-secret
                  key: AWS_SECRET_ACCESS_KEY
            - name: AWS_REGION
              value: "us-east-1"
            - name: AWS_ALLOW_HTTP
              value: "true"
            - name: BUCKET_NAME
              value: "my-loras"
          command:
            - python3
            - -m
            - dynamo.vllm
          args:
            - --enable-multimodal
            - --model
            - Qwen/Qwen3-VL-2B-Instruct
            - --enable-lora
            - --max-lora-rank
            - "64"
            - --gpu-memory-utilization
            - "0.85"
            - --max-model-len
            - "8192"
            - --max-num-batched-tokens
            - "8192"
