diff --git a/Dockerfile b/Dockerfile
index e8e1bf5..252fb22 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -401,34 +401,34 @@
 # RUN mv mkdocs.yaml test_docs/
 # #################### TEST IMAGE ####################
 
-# #################### OPENAI API SERVER ####################
-# # base openai image with additional requirements, for any subsequent openai-style images
-# FROM vllm-base AS vllm-openai-base
-# ARG TARGETPLATFORM
-# ARG INSTALL_KV_CONNECTORS=false
+#################### OPENAI API SERVER ####################
+# base openai image with additional requirements, for any subsequent openai-style images
+FROM vllm-base AS vllm-openai-base
+ARG TARGETPLATFORM
+ARG INSTALL_KV_CONNECTORS=false
 
-# ARG PIP_INDEX_URL UV_INDEX_URL
-# ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
+ARG PIP_INDEX_URL UV_INDEX_URL
+ARG PIP_EXTRA_INDEX_URL UV_EXTRA_INDEX_URL
 
-# # This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
-# # Reference: https://github.com/astral-sh/uv/pull/1694
-# ENV UV_HTTP_TIMEOUT=500
+# This timeout (in seconds) is necessary when installing some dependencies via uv since it's likely to time out
+# Reference: https://github.com/astral-sh/uv/pull/1694
+ENV UV_HTTP_TIMEOUT=500
 
-# COPY ./vllm_v0.10.0/requirements/kv_connectors.txt requirements/kv_connectors.txt
+COPY ./vllm_v0.10.0/requirements/kv_connectors.txt requirements/kv_connectors.txt
 
-# # install additional dependencies for openai api server
-# RUN --mount=type=cache,target=/root/.cache/uv \
-#     if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then \
-#         uv pip install --system -r requirements/kv_connectors.txt; \
-#     fi; \
-#     if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
-#         BITSANDBYTES_VERSION="0.42.0"; \
-#     else \
-#         BITSANDBYTES_VERSION="0.46.1"; \
-#     fi; \
-#     uv pip install --system accelerate hf_transfer modelscope "bitsandbytes>=${BITSANDBYTES_VERSION}" 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]
+# install additional dependencies for openai api server
+RUN --mount=type=cache,target=/root/.cache/uv \
+    if [ "$INSTALL_KV_CONNECTORS" = "true" ]; then \
+        uv pip install --system -r requirements/kv_connectors.txt; \
+    fi; \
+    if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
+        BITSANDBYTES_VERSION="0.42.0"; \
+    else \
+        BITSANDBYTES_VERSION="0.46.1"; \
+    fi; \
+    uv pip install --system accelerate hf_transfer modelscope "bitsandbytes>=${BITSANDBYTES_VERSION}" 'timm==0.9.10' boto3 runai-model-streamer runai-model-streamer[s3]
 
-# ENV VLLM_USAGE_SOURCE production-docker-image
+ENV VLLM_USAGE_SOURCE production-docker-image
 
 # # define sagemaker first, so it is not default from `docker build`
 # FROM vllm-openai-base AS vllm-sagemaker