fix: Fix sglang imports for v0.5.3rc0 and update Dockerfile.sglang version to match (#3405)

Signed-off-by: Ryan McCormick <rmccormick@nvidia.com>

components/src/dynamo/sglang/request_handlers/multimodal_encode_worker_handler.py

@@ -5,7 +5,7 @@ import logging
 from typing import AsyncIterator
 
 import torch
-from sglang.srt.conversation import chat_templates
+from sglang.srt.parser.conversation import chat_templates
 from transformers import AutoImageProcessor, AutoModel, AutoTokenizer
 
 import dynamo.nixl_connect as connect

components/src/dynamo/sglang/utils/multimodal_chat_processor.py

@@ -3,7 +3,7 @@
 
 import logging
 
-from sglang.srt.conversation import chat_templates
+from sglang.srt.parser.conversation import chat_templates
 
 logger = logging.getLogger(__name__)
 

container/Dockerfile.sglang

@@ -14,7 +14,7 @@ ARG RUNTIME_IMAGE="nvcr.io/nvidia/cuda"
 ARG RUNTIME_IMAGE_TAG="12.8.1-runtime-ubuntu24.04"
 
 # Make sure to update the dependency version in pyproject.toml when updating this
-ARG SGLANG_VERSION="0.5.0rc2"
+ARG SGLANG_VERSION="0.5.3rc0"
 
 
 # Define general architecture ARGs for supporting both x86 and aarch64 builds.
@@ -302,4 +302,4 @@ COPY pyproject.toml README.md hatch_build.py /workspace/
 RUN uv pip install --no-deps -e .
 
 ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
-CMD []
+CMD []
\ No newline at end of file