Does the current version 1.1.0 of Springai not support Qwen3-VL-Embedding embedding models

This is my configuration：
@Bean
public OpenAiEmbeddingModel embeddingModel() {
return new OpenAiEmbeddingModel(
OpenAiApi.builder()
.baseUrl("http://192.168.8.12:8000")
.apiKey("")
.build(),
MetadataMode.EMBED,
OpenAiEmbeddingOptions.builder()
.model("/home/ai/models/Qwen/Qwen3-VL-Embedding-2B")
.build()
);
}

@Bean
public MilvusServiceClient milvusServiceClient() {
    ConnectParam connectParam = ConnectParam.newBuilder()
            .withHost(host)
            .withPort(port)
            .withAuthorization("root","Milvus")
            .build();
    return new MilvusServiceClient(connectParam);
}

@Bean
@Primary
public MilvusVectorStore  milvusVectorStore(MilvusServiceClient milvusServiceClient,OpenAiEmbeddingModel embeddingModel) {
   return MilvusVectorStore.builder(milvusServiceClient,embeddingModel)
           .collectionName(collectionName)
           .build();
}

I started the Qwen3-VL-Embedding-2B model using VLLM

After using the vectorStore.add method, the error message is as follows：
{"error":{"message":"1 validation error:\n {'type': 'missing', 'loc': ('body',), 'msg': 'Field required', 'input': None}\n\n File "/home/venv_vllm_new/lib/python3.12/site-packages/vllm/entrypoints/utils.py", line 26, in create_embedding\n POST /v1/embeddings [{'type': 'missing', 'loc': ('body',), 'msg': 'Field required', 'input': None}]","type":"Bad Request","param":null,"code":400}}

Start by reproducing the vectorStore.add call with the shown OpenAiEmbeddingModel configuration and inspect the request sent to the VLLM /v1/embeddings endpoint. Compare the request with the endpoint's expected body for Qwen3-VL-Embedding-2B; done when the model works through the vector store or the incompatibility and required configuration are clearly documented.