update

Author: cloga

articles/machine-learning/prompt-flow/how-to-create-manage-runtime.md

@@ -298,6 +298,10 @@ If you want to use a private feed in Azure DevOps, follow these steps:
        :::image type="content" source="./media/how-to-create-manage-runtime/runtime-advanced-setting-msi.png" alt-text="Screenshot that shows the toggle for using a workspace user-assigned managed identity. " lightbox = "./media/how-to-create-manage-runtime/runtime-advanced-setting-msi.png":::
     2. If you are using compute instance, it will use the user-assigned managed identity that you assigned to the compute instance.
 
+
+> [!NOTE]
+> This approach mainly focuses on quick testing in flow develop phase, if you also want to deploy this flow as endpoint please build this private feed in your image and update customize base image in `flow.dag.yaml`. Learn more [how to build custom base image](how-to-customize-environment-runtime.md#customize-environment-with-docker-context-for-runtime)
+
 #### Change the base image for automatic runtime (preview)
 
 By default, we use the latest prompt flow image as the base image. If you want to use a different base image, you can [build a custom one](how-to-customize-environment-runtime.md#customize-environment-with-docker-context-for-runtime). Then, put the new base image under `environment` in the `flow.dag.yaml` file in the flow folder. To use the new base image, you need to reset the runtime via the `reset` command. This process takes several minutes as it pulls the new base image and reinstalls packages.

articles/machine-learning/prompt-flow/how-to-customize-environment-runtime.md

@@ -63,7 +63,7 @@ RUN pip install -r requirements.txt
 ```
 
 > [!NOTE]
-> This docker image should be built from prompt flow base image that is `mcr.microsoft.com/azureml/promptflow/promptflow-runtime-stable:<newest_version>`. If possible use the [latest version of the base image](https://mcr.microsoft.com/v2/azureml/promptflow/promptflow-runtime-stable/tags/list). 
+> This docker image should be built from prompt flow base image that is `mcr.microsoft.com/azureml/promptflow/promptflow-runtime:<newest_version>`. If possible use the [latest version of the base image](https://mcr.microsoft.com/v2/azureml/promptflow/promptflow-runtime/tags/list). 
 
 ### Step 2: Create custom Azure Machine Learning environment