Merge branch 'current' into style-changes-4

Author: matthewshaver

website/docs/docs/build/udfs.md

@@ -10,7 +10,7 @@ User-defined functions (UDFs) enable you to define and register custom functions
 
 UDFs are particularly valuable for sharing logic across multiple tools, standardizing complex business calculations, improving performance for compute-intensive operations (since they're compiled and optimized by your warehouse's query engine), and version controlling custom logic within your dbt project.
 
-dbt creates, updates, and renames UDFs as part of DAG execution. The UDF is built in the warehouse before the model that references it.
+dbt creates, updates, and renames UDFs as part of DAG execution. The UDF is built in the warehouse before the model that references it. Refer to [listing and selecting UDFs](/docs/build/udfs#listing-and-selecting-udfs) for more info on how to build UDFs in your project.
 
 ## Prerequisites
 
@@ -222,11 +222,11 @@ unit_tests:
 
 ## Listing and selecting UDFs
 
-To list UDFs in your project, run `dbt list --select "resource_type:function"` or `dbt list --resource-type function`.
+Use the [`list` command](/reference/commands/list#listing-functions) to list UDFs in your project: `dbt list --select "resource_type:function"` or `dbt list --resource-type function`.
 
-To select UDFs when building a project, run `dbt build --select "resource_type:function"`.
+Use the [`build` command](/reference/commands/build#functions) to select UDFs when building a project: `dbt build --select "resource_type:function"`.
 
-For more information about selecting UDFs, see the examples in [Node selector methods](/reference/node-selection/methods).
+For more information about selecting UDFs, see the examples in [Node selector methods](/reference/node-selection/methods#file).
 
 ## Limitations
 - Creating UDFs in other languages (for example, Python, Java, or Scala) is not yet supported. 

website/docs/docs/cloud/connect-data-platform/connect-amazon-athena.md

@@ -23,7 +23,7 @@ Connect <Constant name="cloud" /> to Amazon's Athena interactive query service t
 | AWS S3 temp tables prefix     | s3_tmp_table_dir | Prefix for storing temporary tables, if different from the connection's s3_data_dir | String | Optional  | s3://bucket3/dbt/ |
 | Poll interval                 | poll_interval    | Interval in seconds to use for polling the status of query results in Athena        | Integer| Optional  | 5 |
 | Query retries                 | num_retries      | Number of times to retry a failing query                                            | Integer| Optional  | 3 |
-| Boto3 retries                 | num_boto3_retries| Number of times to retry boto3 requests (e.g. deleting S3 files for materialized tables)| Integer | Optional | 5 |
+| Boto3 retries                 | num_boto3_retries| Number of times to retry boto3 requests (for example, deleting S3 files for materialized tables)| Integer | Optional | 5 |
 | Iceberg retries               | num_iceberg_retries| Number of times to retry iceberg commit queries to fix ICEBERG_COMMIT_ERROR       | Integer | Optional | 0 |
 
 ### Development credentials

website/docs/docs/cloud/secure/az-postgres-private-link.md

@@ -29,7 +29,7 @@ From your Azure portal:
     - Postgres Flexible Server name:
     - Azure Database for Postgres Flexible Server resource ID:
     - dbt Azure multi-tenant environment (EMEA):
-    - Azure Postgres server region (e.g., WestEurope, NorthEurope):
+    - Azure Postgres server region (for example, WestEurope, NorthEurope):
     ```
 5. Once our support team confirms the endpoint has been created, navigate to the Azure Database for Postgres Flexible Server in the Azure Portal and browse to **Settings** > **Networking**. In the **Private Endpoints** section, highlight the `dbt` named option and select **Approve**. Confirm with Support that the connection has been approved so they can validate the connection and make it available for use in  <Constant name="cloud" />.
 

website/docs/docs/cloud/secure/az-synapse-private-link.md

@@ -29,7 +29,7 @@ From your Azure portal:
     - Server name:
     - Azure Synapse workspace resource ID:
     - dbt Azure multi-tenant environment (EMEA):
-    - Azure Synapse workspace region (e.g., WestEurope, NorthEurope):
+    - Azure Synapse workspace region (for example, WestEurope, NorthEurope):
     ```
 5. Once our support team confirms the the endpoint has been created, navigate to the Azure Synapse workspace in the Azure Portal and browse to **Security** > **Private endpoint connections**. In the **Private endpoint connections** table, highlight the `dbt` named option and select **Approve**. Confirm with Support that the connection has been approved so they can validate the connection and make it available for use in  <Constant name="cloud" />.
 

website/docs/docs/cloud/secure/databricks-private-link.md

@@ -26,7 +26,7 @@ The following steps will walk you through the setup of a Databricks Azure Privat
       Subject: New Azure Multi-Tenant Private Link Request
     - Type: Databricks
     - Databricks instance name:
-    - Azure Databricks Workspace URL (e.g. adb-################.##.azuredatabricks.net)
+    - Azure Databricks Workspace URL (for example, adb-################.##.azuredatabricks.net)
     - Databricks Azure resource ID:
     - dbt Azure multi-tenant environment (EMEA):
     - Azure Databricks workspace region (like WestEurope, NorthEurope):

website/docs/docs/cloud/secure/databricks-privatelink.md

@@ -28,7 +28,7 @@ The following steps will walk you through the setup of a Databricks AWS PrivateL
     Subject: New AWS Multi-Tenant PrivateLink Request
     - Type: Databricks
     - Databricks instance name:
-    - Databricks cluster AWS Region (e.g., us-east-1, eu-west-2):
+    - Databricks cluster AWS Region (for example, us-east-1, eu-west-2):
     - dbt AWS multi-tenant environment (US, EMEA, AU):
     ```
     <PrivateLinkSLA />

website/docs/docs/cloud/secure/postgres-privatelink.md

@@ -77,7 +77,7 @@ Once the VPC Endpoint Service is provisioned, you can find the service name in t
 Subject: New Multi-Tenant PrivateLink Request
 - Type: Postgres Interface-type
 - VPC Endpoint Service Name:
-- Postgres server AWS Region (e.g., us-east-1, eu-west-2):
+- Postgres server AWS Region (for example, us-east-1, eu-west-2):
 - dbt AWS multi-tenant environment (US, EMEA, AU):
 ```
 

website/docs/docs/cloud/secure/redshift-privatelink.md

@@ -50,7 +50,7 @@ AWS provides two different ways to create a PrivateLink VPC endpoint for a Redsh
        - Type: Redshift-managed
        - Redshift cluster name:
        - Redshift cluster AWS account ID:
-       - Redshift cluster AWS Region (e.g., us-east-1, eu-west-2):
+       - Redshift cluster AWS Region (for example, us-east-1, eu-west-2):
        - <Constant name="cloud" /> multi-tenant environment (US, EMEA, AU):
        ```
 
@@ -60,7 +60,7 @@ AWS provides two different ways to create a PrivateLink VPC endpoint for a Redsh
        - Type: Redshift-managed - Serverless
        - Redshift workgroup name:
        - Redshift workgroup AWS account ID:
-       - Redshift workgroup AWS Region (e.g., us-east-1, eu-west-2):
+       - Redshift workgroup AWS Region (for example, us-east-1, eu-west-2):
        - <Constant name="cloud" /> multi-tenant environment (US, EMEA, AU):
        ```
 
@@ -125,7 +125,7 @@ Once the VPC Endpoint Service is provisioned, you can find the service name in t
 Subject: New Multi-Tenant PrivateLink Request
 - Type: Redshift Interface-type
 - VPC Endpoint Service Name:
-- Redshift cluster AWS Region (e.g., us-east-1, eu-west-2):
+- Redshift cluster AWS Region (for example, us-east-1, eu-west-2):
 - dbt AWS multi-tenant environment (US, EMEA, AU):
 ```
 

website/docs/docs/cloud/secure/vcs-privatelink.md

@@ -86,7 +86,7 @@ Subject: New Multi-Tenant PrivateLink Request
 - Custom DNS (if HTTPS)
     - Private hosted zone:
     - DNS record:
-- VCS install AWS Region (e.g., us-east-1, eu-west-2):
+- VCS install AWS Region (for example, us-east-1, eu-west-2):
 - dbt AWS multi-tenant environment (US, EMEA, AU):
 ```
 

website/docs/docs/cloud/use-dbt-copilot.md

@@ -21,7 +21,7 @@ This page explains how to use <Constant name="copilot" /> to:
 - [Generate and edit SQL inline](#generate-and-edit-sql-inline) &mdash; Use natural language prompts to generate SQL code from scratch or to edit existing SQL file by using keyboard shortcuts or highlighting code in the [<Constant name="cloud_ide" />](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud).
 - [Build visual models](#build-visual-models) &mdash; Use <Constant name="copilot" /> to generate models in [<Constant name="visual_editor" />](/docs/cloud/use-canvas) with natural language prompts.
 - [Build queries](#build-queries) &mdash; Use <Constant name="copilot" /> to generate queries in [<Constant name="query_page" />](/docs/explore/dbt-insights) for exploratory data analysis using natural language prompts.
-- [Analyze data with the <Constant name="copilot" /> agent](#analyze-data-with-the-copilot-agent) &mdash; Use <Constant name="copilot" /> to analyze your data and get contextualized results in real time by asking a natural language question to the <Constant name="copilot" /> agent.
+- [Analyze data with the Analyst agent](#analyze-data-with-the-analyst-agent) &mdash; Use <Constant name="copilot" /> to analyze your data and get contextualized results in real time by asking a natural language question to the Analyst agent.
 
 :::tip
 Check out our [dbt Copilot on-demand course](https://learn.getdbt.com/learn/course/dbt-copilot/welcome-to-dbt-copilot/welcome-5-mins) to learn how to use <Constant name="copilot" /> to generate resources, and more!
@@ -59,21 +59,23 @@ To begin building SQL queries with natural language prompts in <Constant name="q
 
 <Lightbox src="/img/docs/dbt-insights/insights-copilot.gif" width="95%" title="dbt Copilot in dbt Insights" />
 
-## Analyze data with the Copilot agent <Lifecycle status='private_beta' />
+## Analyze data with the Analyst agent <Lifecycle status='private_beta' />
 
-Use dbt <Constant name="copilot" /> to analyze your data and get contextualized results in real time by asking natural language questions to the [<Constant name="query_page" />](/docs/explore/dbt-insights) <Constant name="copilot" /> agent. Before you begin, make sure you can [access <Constant name="query_page" />](/docs/explore/access-dbt-insights).
+Use dbt <Constant name="copilot" /> to analyze your data and get contextualized results in real time by asking natural language questions to the [<Constant name="query_page" />](/docs/explore/dbt-insights) Analyst agent. To request access to the Analyst agent, [join the waitlist](https://www.getdbt.com/product/dbt-agents#dbt-Agents-signup).
+
+Before you begin, make sure you can [access <Constant name="query_page" />](/docs/explore/access-dbt-insights).
 
 1. Click the **<Constant name="copilot" />** icon in the Query console sidebar menu.
 2. Click **Agent**.
 3. In the dbt <Constant name="copilot" /> prompt box, enter your question.
 4. Click **↑** to submit your question.
 
-   The <Constant name="copilot" /> agent then translates natural language questions into structured queries, executes queries against governed dbt models and metrics, and returns results with references, assumptions, and possible next steps.
+   The agent then translates natural language questions into structured queries, executes queries against governed dbt models and metrics, and returns results with references, assumptions, and possible next steps.
 
-   The <Constant name="copilot" /> agent can loop through these steps multiple times if it hasn't reached a complete answer, allowing for complex, multi-step analysis.⁠
+   The agent can loop through these steps multiple times if it hasn't reached a complete answer, allowing for complex, multi-step analysis.⁠
 
-5. Confirm the results or continue asking the <Constant name="copilot" /> agent for more insights about your data. 
+5. Confirm the results or continue asking the agent for more insights about your data. 
 
-Your conversation with the <Constant name="copilot" /> agent remains even if you switch tabs within dbt <Constant name="query_page" />. However, they disappear when you navigate out of <Constant name="query_page" /> or when you close your browser.
+Your conversation with the agent remains even if you switch tabs within dbt <Constant name="query_page" />. However, they disappear when you navigate out of <Constant name="query_page" /> or when you close your browser.
 
-<Lightbox src="/img/docs/dbt-insights/insights-copilot-agent.png" width="60%" title="Using the Copilot agent in Insights" />
+<Lightbox src="/img/docs/dbt-insights/insights-copilot-agent.png" width="60%" title="Using the Analyst agent in Insights" />