Support MetaX and Vastai tokenizer compatibility images

.gitea/workflows/docker-build-push.yml

@@ -15,7 +15,9 @@ jobs:
           git checkout "${{ gitea.ref_name }}"
 
       - name: Run compatibility tests
-        run: python3 -m unittest discover -s tests -q
+        run: |
+          python3 -m unittest discover -s tests -q
+          bash -n vllm_wrapper.sh
 
       - name: Load image metadata
         run: |
@@ -60,6 +62,8 @@ jobs:
           image_base="$DOCKER_REGISTRY/$DOCKER_USERNAME/$image_name"
           a100_image="$image_base:${{ gitea.ref_name }}-nvidia-a100"
           cambricon_image="$image_base:${{ gitea.ref_name }}-cambricon-mlu370"
+          metax_image="$image_base:${{ gitea.ref_name }}-metax-c500"
+          vastai_image="$image_base:${{ gitea.ref_name }}-vastai-va16"
 
           docker build \
             --build-arg BASE_IMAGE=harbor.4pd.io/dooke/vllm/vllm/vllm-openai:v0.11.0 \
@@ -67,8 +71,14 @@ jobs:
           docker build \
             --build-arg BASE_IMAGE=harbor.4pd.io/hardcore-tech/cambricon-mlu370-pytorch:v25.01-20260228 \
             -t "$cambricon_image" .
+          docker build \
+            --build-arg BASE_IMAGE=harbor.4pd.io/modelhubxc/enginex-metax/vllm:0.9.1 \
+            -t "$metax_image" .
+          docker build \
+            --build-arg BASE_IMAGE=harbor.4pd.io/modelhubxc/sunruoxi/enginex-vastai-vllm-vacc-fix-tokenizer:VVI-26.02 \
+            -t "$vastai_image" .
 
-          for image in "$a100_image" "$cambricon_image"; do
+          for image in "$a100_image" "$cambricon_image" "$metax_image" "$vastai_image"; do
             success=0
             for attempt in 1 2 3; do
               if docker push "$image"; then success=1; break; fi
@@ -79,6 +89,8 @@ jobs:
           done
           echo "A100_IMAGE=$a100_image" >> "$GITEA_ENV"
           echo "CAMBRICON_IMAGE=$cambricon_image" >> "$GITEA_ENV"
+          echo "METAX_IMAGE=$metax_image" >> "$GITEA_ENV"
+          echo "VASTAI_IMAGE=$vastai_image" >> "$GITEA_ENV"
 
       - name: Notify ModelHub image verification
         run: |
@@ -87,12 +99,16 @@ jobs:
             case "$gpu" in
               Nvidia-A100) image="$A100_IMAGE" ;;
               Cambricon_mlu-370-x4|Cambricon_mlu-370-x8) image="$CAMBRICON_IMAGE" ;;
+              MetaX_c-500) image="$METAX_IMAGE" ;;
+              Vastai_va16) image="$VASTAI_IMAGE" ;;
               *) echo "unknown GPU target: $gpu"; exit 1 ;;
             esac
             payload="$(GPU_TYPE="$gpu" IMAGE="$image" REPO_URL='${{ gitea.server_url }}/${{ gitea.repository }}' TAG='${{ gitea.ref_name }}' ACTOR='${{ gitea.actor }}' python3 -c 'import json, os; print(json.dumps({"framework": os.environ["FRAMEWORK"], "gpuType": os.environ["GPU_TYPE"], "imageUrl": os.environ["IMAGE"], "taskType": os.environ["TASK_TYPE"], "createBy": os.environ["ACTOR"], "repoUrl": os.environ["REPO_URL"], "tag": os.environ["TAG"]}))')"
-            curl --silent --show-error --fail-with-body --location \
+            response="$(curl --silent --show-error --fail-with-body --location \
               --request POST 'https://modelhub.org.cn/adminApi/image-verify' \
               --header "Xc-Token: $FIXED_TOKEN" \
               --header 'Content-Type: application/json' \
-              --data-raw "$payload"
+              --data-raw "$payload")"
+            VERIFY_RESPONSE="$response" python3 -c 'import json,os,sys; body=json.loads(os.environ["VERIFY_RESPONSE"]); sys.exit(0 if body.get("code")==0 else 1)'
+            echo "submitted image verification for $gpu"
           done

.gitea/workflows/task_info.env

@@ -1,3 +1,3 @@
 FRAMEWORK=vllm_qwen25_compat
 TASK_TYPE=text-generation
-GPU_TYPES="Nvidia-A100 Cambricon_mlu-370-x4 Cambricon_mlu-370-x8"
+GPU_TYPES="Nvidia-A100 Cambricon_mlu-370-x4 Cambricon_mlu-370-x8 MetaX_c-500 Vastai_va16"