chore: Templating Feedback Followup (#6125)

Signed-off-by: Dillon Cullinan <dcullinan@nvidia.com>

container/templates/trtllm_runtime.Dockerfile

@@ -2,6 +2,7 @@
 # SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #}
+# === BEGIN templates/trtllm_runtime.Dockerfile ===
 ##################################################
 ########## Runtime Image ########################
 ##################################################

container/templates/vllm_framework.Dockerfile

@@ -2,6 +2,7 @@
 # SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #}
+# === BEGIN templates/vllm_framework.Dockerfile ===
 ########################################################
 ########## Framework Development Image ################
 ########################################################

container/templates/vllm_runtime.Dockerfile

@@ -2,6 +2,7 @@
 # SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #}
+# === BEGIN templates/vllm_runtime.Dockerfile ===
 ##################################################
 ########## Runtime Image ########################
 ##################################################

container/templates/wheel_builder.Dockerfile

@@ -2,6 +2,7 @@
 # SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #}
+# === BEGIN templates/wheel_builder.Dockerfile ===
 ##################################
 ##### Wheel Build Image ##########
 ##################################

docs/backends/sglang/README.md

@@ -134,7 +134,7 @@ We are in the process of shipping pre-built docker containers that contain insta
 
 ```bash
 cd $DYNAMO_ROOT
-python container/render.py --framework=sglang --target=runtime --short-output
+python container/render.py --framework=sglang --target=runtime --output-short-filename
 docker build -t dynamo:sglang-latest -f container/rendered.Dockerfile .
 ```
 

docs/backends/trtllm/README.md

@@ -93,11 +93,11 @@ docker compose -f deploy/docker-compose.yml up -d
 apt-get update && apt-get -y install git git-lfs
 
 # On an x86 machine:
-python container/render.py --framework=trtllm --target=runtime --short-output
+python container/render.py --framework=trtllm --target=runtime --output-short-filename
 docker build -t dynamo:trtllm-latest -f container/rendered.Dockerfile .
 
 # On an ARM machine:
-python container/render.py --framework=trtllm --target=runtime --platform=arm64 --short-output
+python container/render.py --framework=trtllm --target=runtime --platform=arm64 --output-short-filename
 docker build -t dynamo:trtllm-latest -f container/rendered.Dockerfile .
 ```
 

docs/backends/vllm/README.md

@@ -74,7 +74,7 @@ docker compose -f deploy/docker-compose.yml up -d
 We have public images available on [NGC Catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo/artifacts). If you'd like to build your own container from source:
 
 ```bash
-python container/render.py --framework=vllm --target=runtime --short-output
+python container/render.py --framework=vllm --target=runtime --output-short-filename
 docker build -t dynamo:vllm-latest -f container/rendered.Dockerfile .
 ```
 

examples/backends/tritonserver/README.md

@@ -39,7 +39,7 @@ From the Dynamo repository root:
 
 ```bash
 # Build the base Dynamo image
-python container/render.py --framework=dynamo --target=runtime --short-output
+python container/render.py --framework=dynamo --target=runtime --output-short-filename
 docker build -f container/rendered.Dockerfile .
 
 # Build the Triton worker image

examples/backends/trtllm/deploy/README.md

@@ -112,7 +112,7 @@ Before using these templates, ensure you have:
 The deployment files currently require access to `my-registry/tensorrtllm-runtime`. If you don't have access, build and push your own image:
 
 ```bash
-python container/render.py --framework=trtllm --short-output
+python container/render.py --framework=trtllm --output-short-filename
 docker build -f container/rendered.Dockerfile .
 # Tag and push to your container registry
 # Update the image references in the YAML files
@@ -125,7 +125,7 @@ apt-get update && apt-get -y install git git-lfs
 
 For ARM machines, use:
 ```bash
-python container/render.py --framework=vllm --platform arm64 --short-output
+python container/render.py --framework=vllm --platform arm64 --output-short-filename
 docker build -f container/rendered.Dockerfile .
 ```
 

examples/backends/vllm/deploy/README.md

@@ -102,7 +102,7 @@ Before using these templates, ensure you have:
 We have public images available on [NGC Catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo/artifacts). If you'd prefer to use your own registry, build and push your own image:
 
 ```bash
-python container/render.py --framework=vllm --short-output
+python container/render.py --framework=vllm --output-short-filename
 docker build -f container/rendered.Dockerfile .
 # Tag and push to your container registry
 # Update the image references in the YAML files

examples/deployments/EKS/Deploy_Dynamo_Kubernetes_Platform.md

@@ -17,7 +17,7 @@ export DOCKER_SERVER=<ECR_REGISTRY>
 export DOCKER_USERNAME=AWS
 export DOCKER_PASSWORD="$(aws ecr get-login-password --region <ECR_REGION>)"
 export IMAGE_TAG=0.3.2.1
-python container/render.py --framework=dynamo --target=runtime --short-output
+python container/render.py --framework=dynamo --target=runtime --output-short-filename
 docker build -t dynamo:latest-vllm -f container/rendered.Dockerfile .
 ```
 

fern/pages/backends/sglang/README.md

@@ -126,7 +126,7 @@ We are in the process of shipping pre-built docker containers that contain insta
 
 ```bash
 cd $DYNAMO_ROOT
-python container/render.py --framework sglang --short-output
+python container/render.py --framework sglang --output-short-filename
 docker build -f container/rendered.Dockerfile -t dynamo:latest-sglang .
 ```
 

fern/pages/backends/trtllm/README.md

@@ -80,11 +80,11 @@ docker compose -f deploy/docker-compose.yml up -d
 apt-get update && apt-get -y install git git-lfs
 
 # On an x86 machine:
-python container/render.py --framework sglang --short-output
+python container/render.py --framework sglang --output-short-filename
 docker build -f container/rendered.Dockerfile -t dynamo:latest-trtllm .
 
 # On an ARM machine:
-python container/render.py --framework trtllm --platform arm64 --short-output
+python container/render.py --framework trtllm --platform arm64 --output-short-filename
 docker build -f container/rendered.Dockerfile -t dynamo:latest-trtllm .
 ```
 

fern/pages/backends/vllm/README.md

@@ -74,7 +74,7 @@ docker compose -f deploy/docker-compose.yml up -d
 We have public images available on [NGC Catalog](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/ai-dynamo/collections/ai-dynamo/artifacts). If you'd like to build your own container from source:
 
 ```bash
-python container/render.py --framework vllm --short-output
+python container/render.py --framework vllm --output-short-filename
 docker build -f container/rendered.Dockerfile -t dynamo:latest-vllm .
 ```
 

lib/bindings/kvbm/README.md

@@ -43,7 +43,7 @@ The pip wheel is built through a Docker build process:
 
 ```bash
 # Render and build the Docker image with KVBM enabled (from the dynamo repo root)
-python container/render.py --framework=dynamo --target==runtime --short-output
+python container/render.py --framework=dynamo --target==runtime --output-short-filename
 docker build --build-arg ENABLE_KVBM="true" -f container/rendered.Dockerfile .
 ```
 

tests/README.md

@@ -135,7 +135,7 @@ then this test will be included in the nightly run as well.
   ```
 - Run in container:
   ```bash
-  python container/render.py --framework=${FRAMEWORK} --target=runtime --short-output
+  python container/render.py --framework=${FRAMEWORK} --target=runtime --output-short-filename
   docker build -t dynamo:${FRAMEWORK}-latest -f container/rendered.Dockerfile .
   ./container/run.sh --mount-workspace -it -- pytest
   ./container/run.sh --mount-workspace -it -- pytest -m [optional markers]