adding callout (#4738)

[per slack
thread](https://dbt-labs.slack.com/archives/C03KHQRQUBX/p1701972570183949?thread_ts=1701966226.972769&cid=C03KHQRQUBX),
adding this callout to clarify confusiong that env vars aren't supported
yet for the SL.

website/docs/docs/cloud/configure-cloud-cli.md

@@ -86,6 +86,7 @@ To set environment variables in the dbt Cloud CLI for your dbt project:
 2. Then select **Profile Settings**, then **Credentials**.
 3. Click on your project and scroll to the **Environment Variables** section.
 4. Click **Edit** on the lower right and then set the user-level environment variables.  
+   - Note, when setting up the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl), using [environment variables](/docs/build/environment-variables) like `{{env_var('DBT_WAREHOUSE')}}` is not supported. You should use the actual credentials instead.
 
 ## Use the dbt Cloud CLI
 

website/snippets/_new-sl-setup.md

@@ -1,14 +1,12 @@
 You can set up the dbt Semantic Layer in dbt Cloud at the environment and project level. Before you begin:
 
-- You must have a dbt Cloud Team or Enterprise account. Suitable for both Multi-tenant and Single-tenant deployment.
-  - Single-tenant accounts should contact their account representative for necessary setup and enablement.
 - You must be part of the Owner group, and have the correct [license](/docs/cloud/manage-access/seats-and-users) and [permissions](/docs/cloud/manage-access/self-service-permissions) to configure the Semantic Layer:
     * Enterprise plan — Developer license with Account Admin permissions. Or Owner with a Developer license, assigned Project Creator, Database Admin, or Admin permissions.
     * Team plan — Owner with a Developer license.
 - You must have a successful run in your new environment.
 
 :::tip
-If you've configured the legacy Semantic Layer, it has been deprecated, and dbt Labs strongly recommends that you [upgrade your dbt version](/docs/dbt-versions/upgrade-core-in-cloud) to dbt version 1.6 or higher to use the latest dbt Semantic Layer. Refer to the dedicated [migration guide](/guides/sl-migration) for details.
+If you've configured the legacy Semantic Layer, it has been deprecated. dbt Labs strongly recommends that you [upgrade your dbt version](/docs/dbt-versions/upgrade-core-in-cloud) to dbt version 1.6 or higher to use the latest dbt Semantic Layer. Refer to the dedicated [migration guide](/guides/sl-migration) for details.
 :::
 
 1. In dbt Cloud, create a new [deployment environment](/docs/deploy/deploy-environments#create-a-deployment-environment) or use an existing environment on dbt 1.6 or higher.
@@ -20,21 +18,21 @@ If you've configured the legacy Semantic Layer, it has been deprecated, and dbt
 
 <Lightbox src="/img/docs/dbt-cloud/semantic-layer/new-sl-configure.jpg" width="60%" title="Semantic Layer section in the Project Details page"/>
 
-4. In the **Set Up Semantic Layer Configuration** page, enter the credentials you want the Semantic Layer to use specific to your data platform. We recommend credentials have the least privileges required because your Semantic Layer users will be querying it in downstream applications. At a minimum, the Semantic Layer needs to have read access to the schema(s) that contains the dbt models that you used to build your semantic models.
+4. In the **Set Up Semantic Layer Configuration** page, enter the credentials you want the Semantic Layer to use specific to your data platform.
+
+     - Use credentials with minimal privileges. This is because the Semantic Layer requires read access to the schema(s) containing the dbt models used in your semantic models for downstream applications
+     - Note, [Environment variables](/docs/build/environment-variables) such as `{{env_var('DBT_WAREHOUSE')}`, doesn't supported the dbt Semantic Layer yet. You must use the actual credentials.
 
 <Lightbox src="/img/docs/dbt-cloud/semantic-layer/sl-configure-sl.jpg" width="45%" title="Enter the credentials you want the Semantic Layer to use specific to your data platform, and select the deployment environment."/>
 
 5. Select the deployment environment you want for the Semantic Layer and click **Save**.
 
 6. After saving it, you'll be provided with the connection information that allows you to connect to downstream tools. If your tool supports JDBC, save the JDBC URL or individual components (like environment id and host). If it uses the GraphQL API, save the GraphQL API host information instead.
 
-<Lightbox src="/img/docs/dbt-cloud/semantic-layer/sl-configure-example.jpg" width="50%" title="After you configure the Semantic Layer, you'll be provided with the connection information to connect to you downstream tools." />
+<Lightbox src="/img/docs/dbt-cloud/semantic-layer/sl-configure-example.jpg" width="50%" title="After configuring, you'll be provided with the connection details to connect to you downstream tools." />
 
 7. Save and copy your environment ID, service token, and host, which you'll need to use downstream tools. For more info on how to integrate with partner integrations, refer to [Available integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations).
 
 8. Return to the **Project Details** page, then select **Generate Service Token**.  You will need Semantic Layer Only and Metadata Only [service token](/docs/dbt-cloud-apis/service-tokens) permissions.
 
-
-
-Great job, you've configured the Semantic Layer 🎉! 
-
+Great job, you've configured the Semantic Layer 🎉!