Merge branch 'current' into guide/cloud_cli

website/docs/docs/build/metricflow-commands.md

@@ -27,6 +27,9 @@ dbt Cloud jobs support the `dbt sl validate` command to [automatically test your
 In dbt Cloud, run MetricFlow commands directly in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud) or in the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation). 
 
 For dbt Cloud CLI users, MetricFlow commands are embedded in the dbt Cloud CLI, which means you can immediately run them once you install the dbt Cloud CLI and don't need to install MetricFlow separately. You don't need to manage versioning because your dbt Cloud account will automatically manage the versioning for you.
+
+<!--remove when fixed -->
+Note: The **Defer to staging/production** [toggle](/docs/cloud/about-cloud-develop-defer#defer-in-the-dbt-cloud-ide) is currently not available when running Semantic Layer commands in the dbt Cloud IDE.  To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
 </TabItem>
 
 <TabItem value="core" label="MetricFlow with dbt Core">  

website/docs/docs/cloud/about-cloud-develop-defer.md

@@ -40,6 +40,9 @@ To enable defer in the dbt Cloud IDE, toggle the **Defer to production** button
 
 For example, if you were to start developing on a new branch with [nothing in your development schema](/reference/node-selection/defer#usage), edit a single model, and run `dbt build -s state:modified` —  only the edited model would run. Any `{{ ref() }}` functions will point to the production location of the referenced models.
 
+<!--remove when fixed -->
+Note: The **Defer to staging/production** toggle is currently not available when running [dbt Semantic Layer commands](/docs/build/metricflow-commands) in the dbt Cloud IDE. To use defer for Semantic layer commands in the IDE, manually add the `--defer` flag to the command. This is a temporary workaround and will be available soon.
+
 <Lightbox src="/img/docs/dbt-cloud/defer-toggle.jpg" width="100%" title="Select the 'Defer to production' toggle on the bottom right of the command bar to enable defer in the dbt Cloud IDE."/>
 
 ### Defer in dbt Cloud CLI

website/docs/docs/dbt-cloud-apis/sl-api-overview.md

@@ -43,7 +43,7 @@ plan="dbt Cloud Team or Enterprise"
     icon="dbt-bit"/>
 
 <Card
-    title="Python SDK (Preview)"
+    title="Python SDK"
     body="Use the Python SDK to interact with the dbt Semantic Layer using Python."
     link="/docs/dbt-cloud-apis/sl-python"
     icon="dbt-bit"/>

website/docs/docs/dbt-cloud-apis/sl-python-sdk.md

@@ -7,7 +7,6 @@ keywords: [dbt Cloud, API, dbt Semantic Layer, python, sdk]
 sidebar_label: "Python SDK"
 ---
 
-# Python SDK <Lifecycle status="Preview"/>
 The [`dbt-sl-sdk` Python software development kit](https://github.com/dbt-labs/semantic-layer-sdk-python) (SDK) is a Python library that provides you with easy access to the dbt Semantic Layer with Python. It allows developers to interact with the dbt Semantic Layer APIs and query metrics and dimensions in downstream tools. 
 
 ## Installation