feat: update vllm to 0.18.1

Dockerfile

@@ -10,7 +10,7 @@ RUN ldconfig /usr/local/cuda-12.9/compat/
 
 # Install vLLM with FlashInfer - use CUDA 12.9 PyTorch wheels
 RUN uv pip install --system "packaging>=24.2" && \
-    uv pip install --system "vllm[flashinfer]==0.17.1" --extra-index-url https://download.pytorch.org/whl/cu129
+    uv pip install --system "vllm[flashinfer]==0.18.1" --extra-index-url https://download.pytorch.org/whl/cu129
 
 # Install additional Python dependencies (after vLLM to avoid PyTorch version conflicts)
 COPY builder/requirements.txt /requirements.txt

vllm-loadbalancer-ep.code-workspace

@@ -0,0 +1,11 @@
+{
+	"folders": [
+		{
+			"path": "../vllm-loadbalancer-ep"
+		},
+		{
+			"path": "."
+		}
+	],
+	"settings": {}
+}