diff --git a/website/docs/docs/build/incremental-microbatch.md b/website/docs/docs/build/incremental-microbatch.md index b4b5406127e..2bfc07d8e2e 100644 --- a/website/docs/docs/build/incremental-microbatch.md +++ b/website/docs/docs/build/incremental-microbatch.md @@ -30,6 +30,15 @@ A `sessions` model is aggregating and enriching data that comes from two other m The `page_view_start` column in `page_views` is configured as that model's `event_time`. The `customers` model does not configure an `event_time`. Therefore, each batch of `sessions` will filter `page_views` to the equivalent time-bounded batch, and it will not filter `customers` (a full scan for every batch). + + +```yaml +models: + - name: page_views + config: + event_time: page_view_start +``` + We run the `sessions` model on October 1, 2024, and then again on October 2. It produces the following queries: diff --git a/website/docs/docs/cloud/about-cloud/about-dbt-cloud.md b/website/docs/docs/cloud/about-cloud/about-dbt-cloud.md index 02f950111ea..d7afd424fc4 100644 --- a/website/docs/docs/cloud/about-cloud/about-dbt-cloud.md +++ b/website/docs/docs/cloud/about-cloud/about-dbt-cloud.md @@ -24,7 +24,7 @@ dbt Cloud's [flexible plans](https://www.getdbt.com/pricing/) and features make diff --git a/website/docs/docs/cloud/dbt-assist-data.md b/website/docs/docs/cloud/dbt-assist-data.md deleted file mode 100644 index ad32c304ca8..00000000000 --- a/website/docs/docs/cloud/dbt-assist-data.md +++ /dev/null @@ -1,29 +0,0 @@ ---- -title: "dbt Assist privacy and data" -sidebar_label: "dbt Assist privacy" -description: "dbt Assist’s powerful AI feature helps you deliver data that works." ---- - -# dbt Assist privacy and data - -dbt Labs is committed to protecting your privacy and data. This page provides information about how dbt Labs handles your data when you use dbt Assist. - -#### Is my data used by dbt Labs to train AI models? - -No, dbt Assist does not use client warehouse data to train any AI models. It uses API calls to an AI provider. - -#### Does dbt Labs share my personal data with third parties - -dbt Labs only shares client personal information as needed to perform the services, under client instructions, or for legal, tax, or compliance reasons. - -#### Does dbt Assist store or use personal data? - -The user clicks the AI assist button, and the user does not otherwise enter data. - -#### Does dbt Assist access my warehouse data? - -dbt Assist utilizes metadata, including column names, model SQL, the model's name, and model documentation. The row-level data from the warehouse is never used or sent to a third-party provider. Such output must be double-checked by the user for completeness and accuracy. - -#### Can dbt Assist data be deleted upon client written request? - -dbt Assist data, aside from usage data, does not persist on dbt Labs systems. Usage data is retained by dbt Labs. dbt Labs does not have possession of any personal or sensitive data. To the extent client identifies personal or sensitive information uploaded by or on behalf of client to dbt Labs systems, such data can be deleted within 30 days of written request. diff --git a/website/docs/docs/cloud/dbt-assist.md b/website/docs/docs/cloud/dbt-assist.md deleted file mode 100644 index bb8cabaff2b..00000000000 --- a/website/docs/docs/cloud/dbt-assist.md +++ /dev/null @@ -1,25 +0,0 @@ ---- -title: "About dbt Assist" -sidebar_label: "About dbt Assist" -description: "dbt Assist’s powerful AI co-pilot feature helps you deliver data that works." -pagination_next: "docs/cloud/enable-dbt-assist" -pagination_prev: null ---- - -# About dbt Assist - -dbt Assist is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud, allowing you to focus on delivering data that works. dbt Assist’s AI co-pilot generates [documentation](/docs/build/documentation), [semantic models](/docs/build/semantic-models), and [tests](/docs/build/data-tests) for your SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. - -:::tip Beta feature -dbt Assist is an AI tool meant to _help_ developers generate documentation, semantic models, and tests in dbt Cloud. It's available in beta, in the dbt Cloud IDE only. - -To use dbt Assist, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your account team to begin this process. -::: - - - -## Feedback - -Please note: Always review AI-generated code and content as it may produce incorrect results. dbt Assist features and/or functionality may be added or eliminated as part of the beta trial. - -To give feedback, please reach out to your dbt Labs account team. We appreciate your feedback and suggestions as we improve dbt Assist. diff --git a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md index 37f39f6dff8..398b0cff2a1 100644 --- a/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md +++ b/website/docs/docs/cloud/dbt-cloud-ide/develop-in-the-cloud.md @@ -13,7 +13,7 @@ The dbt Cloud integrated development environment (IDE) is a single web-based int The dbt Cloud IDE offers several [keyboard shortcuts](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) and [editing features](/docs/cloud/dbt-cloud-ide/ide-user-interface#editing-features) for faster and efficient development and governance: - Syntax highlighting for SQL — Makes it easy to distinguish different parts of your code, reducing syntax errors and enhancing readability. -- AI co-pilot — Use [dbt Assist](/docs/cloud/dbt-assist), a powerful AI co-pilot feature, to generate documentation, semantic models, and tests for your dbt SQL models. +- AI copilot — Use [dbt Copilot](/docs/cloud/dbt-copilot), a powerful AI engine that can generate documentation, tests, and semantic models for your dbt SQL models. - Auto-completion — Suggests table names, arguments, and column names as you type, saving time and reducing typos. - Code [formatting and linting](/docs/cloud/dbt-cloud-ide/lint-format) — Helps standardize and fix your SQL code effortlessly. - Navigation tools — Easily move around your code, jump to specific lines, find and replace text, and navigate between project files. @@ -55,7 +55,7 @@ To understand how to navigate the IDE and its user interface elements, refer to | [**Keyboard shortcuts**](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) | You can access a variety of [commands and actions](/docs/cloud/dbt-cloud-ide/keyboard-shortcuts) in the IDE by choosing the appropriate keyboard shortcut. Use the shortcuts for common tasks like building modified models or resuming builds from the last failure. | | **IDE version control** | The IDE version control section and git button allow you to apply the concept of [version control](/docs/collaborate/git/version-control-basics) to your project directly into the IDE.

- Create or change branches, execute git commands using the git button.
- Commit or revert individual files by right-clicking the edited file
- [Resolve merge conflicts](/docs/collaborate/git/merge-conflicts)
- Link to the repo directly by clicking the branch name
- Edit, format, or lint files and execute dbt commands in your primary protected branch, and commit to a new branch.
- Use Git diff view to view what has been changed in a file before you make a pull request.
- From dbt version 1.6 and higher, use the **Prune branches** [button](/docs/cloud/dbt-cloud-ide/ide-user-interface#prune-branches-modal) to delete local branches that have been deleted from the remote repository, keeping your branch management tidy. | | **Preview and Compile button** | You can [compile or preview](/docs/cloud/dbt-cloud-ide/ide-user-interface#console-section) code, a snippet of dbt code, or one of your dbt models after editing and saving. | -| [**dbt Assist**](/docs/cloud/dbt-assist) | A powerful AI co-pilot feature that generates documentation, semantic models, and tests for your dbt SQL models. Available for dbt Cloud Enterprise plans. | +| [**dbt Copilot**](/docs/cloud/dbt-copilot) | A powerful AI engine that can generate documentation, tests, and semantic models for your dbt SQL models. Available for dbt Cloud Enterprise plans. | | **Build, test, and run button** | Build, test, and run your project with a button click or by using the Cloud IDE command bar. | **Command bar** | You can enter and run commands from the command bar at the bottom of the IDE. Use the [rich model selection syntax](/reference/node-selection/syntax) to execute [dbt commands](/reference/dbt-commands) directly within dbt Cloud. You can also view the history, status, and logs of previous runs by clicking History on the left of the bar. | **Drag and drop** | Drag and drop files located in the file explorer, and use the file breadcrumb on the top of the IDE for quick, linear navigation. Access adjacent files in the same file by right-clicking on the breadcrumb file. @@ -130,7 +130,7 @@ Nice job, you're ready to start developing and building models 🎉! - Starting from dbt v1.6, leverage [environments variables](/docs/build/environment-variables#special-environment-variables) to dynamically use the Git branch name. For example, using the branch name as a prefix for a development schema. - Run [MetricFlow commands](/docs/build/metricflow-commands) to create and manage metrics in your project with the [dbt Semantic Layer](/docs/use-dbt-semantic-layer/dbt-sl). -- **Generate your YAML configurations with dbt Assist** — [dbt Assist](/docs/cloud/dbt-assist) is a powerful artificial intelligence (AI) co-pilot feature that helps automate development in dbt Cloud. It generates documentation, semantic models, and tests for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans. +- **Generate your YAML configurations with dbt Copilot** — [dbt Copilot](/docs/cloud/dbt-copilot) is a powerful artificial intelligence (AI) feature that helps automate development in dbt Cloud. It can generate documentation, tests, and semantic models for your dbt SQL models directly in the dbt Cloud IDE, with a click of a button, and helps you accomplish more in less time. Available for dbt Cloud Enterprise plans. - **Build and view your project's docs** — The dbt Cloud IDE makes it possible to [build and view](/docs/collaborate/build-and-view-your-docs) documentation for your dbt project while your code is still in development. With this workflow, you can inspect and verify what your project's generated documentation will look like before your changes are released to production. diff --git a/website/docs/docs/cloud/dbt-copilot-data.md b/website/docs/docs/cloud/dbt-copilot-data.md new file mode 100644 index 00000000000..b55681542e3 --- /dev/null +++ b/website/docs/docs/cloud/dbt-copilot-data.md @@ -0,0 +1,29 @@ +--- +title: "dbt Copilot privacy and data" +sidebar_label: "dbt Copilot privacy" +description: "dbt Copilot is a powerful AI engine to help you deliver data that works." +--- + +# dbt Copilot privacy and data + +dbt Labs is committed to protecting your privacy and data. This page provides information about how the dbt Copilot AI engine handles your data. + +#### Is my data used by dbt Labs to train AI models? + +No, dbt Copilot does not use client warehouse data to train any AI models. It uses API calls to an AI provider. + +#### Does dbt Labs share my personal data with third parties + +dbt Labs only shares client personal information as needed to perform the services, under client instructions, or for legal, tax, or compliance reasons. + +#### Does dbt Copilot store or use personal data? + +The user clicks the dbt Copilot button, and the user does not otherwise enter data. + +#### Does dbt Copilot access my warehouse data? + +dbt Copilot utilizes metadata, including column names, model SQL, the model's name, and model documentation. The row-level data from the warehouse is never used or sent to a third-party provider. Such output must be double-checked by the user for completeness and accuracy. + +#### Can dbt Copilot data be deleted upon client written request? + +The data from using dbt Copilot, aside from usage data, _doesn't_ persist on dbt Labs systems. Usage data is retained by dbt Labs. dbt Labs doesn't have possession of any personal or sensitive data. To the extent client identifies personal or sensitive information uploaded by or on behalf of client to dbt Labs systems, such data can be deleted within 30 days of written request. diff --git a/website/docs/docs/cloud/dbt-copilot.md b/website/docs/docs/cloud/dbt-copilot.md new file mode 100644 index 00000000000..42a05dd91ba --- /dev/null +++ b/website/docs/docs/cloud/dbt-copilot.md @@ -0,0 +1,25 @@ +--- +title: "About dbt Copilot" +sidebar_label: "About dbt Copilot" +description: "dbt Copilot is a powerful AI engine designed to accelerate your analytics workflows throughout your entire ADLC." +pagination_next: "docs/cloud/enable-dbt-copilot" +pagination_prev: null +--- + +# About dbt Copilot + +dbt Copilot is a powerful artificial intelligence (AI) engine that's fully integrated into your dbt Cloud experience and designed to accelerate your analytics workflows. dbt Copilot embeds AI-driven assistance across every stage of the analytics development life cycle (ADLC), empowering data practitioners to deliver data products faster, improve data quality, and enhance data accessibility. With automatic code generation, you can let the AI engine generate the [documentation](/docs/build/documentation), [tests](/docs/build/data-tests), and [semantic models](/docs/build/semantic-models) for you. + +:::tip Beta feature +dbt Copilot is designed to _help_ developers generate documentation, tests, and semantic models in dbt Cloud. It's available in beta, in the dbt Cloud IDE only. + +To use dbt Copilot, you must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing) and agree to use dbt Labs' OpenAI key. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta or reach out to your Account team to begin this process. +::: + + + +## Feedback + +Please note: Always review AI-generated code and content as it may produce incorrect results. The features and/or functionality of dbt Copilot may be added or eliminated as part of the beta trial. + +To give feedback, please contact your dbt Labs account team. We appreciate your feedback and suggestions as we improve dbt Copilot. diff --git a/website/docs/docs/cloud/enable-dbt-assist.md b/website/docs/docs/cloud/enable-dbt-assist.md deleted file mode 100644 index 9432f858001..00000000000 --- a/website/docs/docs/cloud/enable-dbt-assist.md +++ /dev/null @@ -1,35 +0,0 @@ ---- -title: "Enable dbt Assist" -sidebar_label: "Enable dbt Assist" -description: "Enable dbt Assist in dbt Cloud and leverage AI to speed up your development." ---- - -# Enable dbt Assist - -This page explains how to enable dbt Assist in dbt Cloud to leverage AI to speed up your development and allow you to focus on delivering quality data. - -## Prerequisites - -- Available in the dbt Cloud IDE only. -- Must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing). -- Development environment be ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless). -- Current dbt Assist deployments use a central OpenAI API key managed by dbt Labs. In the future, you may provide your own key for Azure OpenAI or OpenAI. -- Accept and sign legal agreements. Reach out to your account team to begin this process. - -## Enable dbt Assist - -dbt Assist will only be available at an account level after your organization has signed the legal requirements. It will be disabled by default. Your dbt Cloud Admin(s) will enable it by following these steps: - -1. Navigate to **Account Settings** in the navigation menu. - -2. Under **Settings**, confirm the account you're enabling. - -3. Click **Edit** in the top right corner. - -4. To turn on dbt Assist, toggle the **Enable account access to AI-powered features** switch to the right. The toggle will slide to the right side, activating dbt Assist. - -5. Click **Save** and you should now have dbt Assist AI enabled to use. - -Note: To disable (only after enabled), repeat steps 1 to 3, toggle off in step 4, and repeat step 5. - - diff --git a/website/docs/docs/cloud/enable-dbt-copilot.md b/website/docs/docs/cloud/enable-dbt-copilot.md new file mode 100644 index 00000000000..23c253ecf7a --- /dev/null +++ b/website/docs/docs/cloud/enable-dbt-copilot.md @@ -0,0 +1,35 @@ +--- +title: "Enable dbt Copilot" +sidebar_label: "Enable dbt Copilot" +description: "Enable the dbt Copilot AI engine in dbt Cloud to speed up your development." +--- + +# Enable dbt Copilot + +This page explains how to enable the dbt Copilot engine in dbt Cloud, leveraging AI to speed up your development and allowing you to focus on delivering quality data. + +## Prerequisites + +- Available in the dbt Cloud IDE only. +- Must have an active [dbt Cloud Enterprise account](https://www.getdbt.com/pricing). +- Development environment has been upgraded to ["Versionless"](/docs/dbt-versions/upgrade-dbt-version-in-cloud#versionless). +- Current dbt Copilot deployments use a central OpenAI API key managed by dbt Labs. In the future, you may provide your own key for Azure OpenAI or OpenAI. +- Accept and sign legal agreements. Reach out to your Account team to begin this process. + +## Enable dbt Copilot + +dbt Copilot is only available at an account level after your organization has signed the legal requirements. It's disabled by default. A dbt Cloud admin(s) can enable it by following these steps: + +1. Navigate to **Account settings** in the navigation menu. + +2. Under **Settings**, confirm the account you're enabling. + +3. Click **Edit** in the top right corner. + +4. Enable the **Enable account access to AI-powered features** option. + +5. Click **Save**. You should now have the dbt Copilot AI engine enabled for use. + +Note: To disable (only after enabled), repeat steps 1 to 3, toggle off in step 4, and repeat step 5. + + \ No newline at end of file diff --git a/website/docs/docs/cloud/use-dbt-assist.md b/website/docs/docs/cloud/use-dbt-assist.md deleted file mode 100644 index 888d5107999..00000000000 --- a/website/docs/docs/cloud/use-dbt-assist.md +++ /dev/null @@ -1,20 +0,0 @@ ---- -title: "Use dbt Assist" -sidebar_label: "Use dbt Assist" -description: "Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code." ---- - -# Use dbt Assist - -Use dbt Assist to generate documentation, semantic models, and tests from scratch, giving you the flexibility to modify or fix generated code. - -To access and use dbt Assist: - -1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**. -2. In the **Console** section (under the **File Editor**), select the **dbt Assist** to view the available AI options. -3. Select the available options to generate the YAML config: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model**. - - To generate multiple YAML configs for the same model, click each option separately. dbt Assist intelligently saves the YAML config in the same file. -4. Verify the AI-generated code. Update or fix the code if needed. -5. Click **Save** to save the code. You should see the file changes under the **Version control** section. - - diff --git a/website/docs/docs/cloud/use-dbt-copilot.md b/website/docs/docs/cloud/use-dbt-copilot.md new file mode 100644 index 00000000000..30def967f96 --- /dev/null +++ b/website/docs/docs/cloud/use-dbt-copilot.md @@ -0,0 +1,22 @@ +--- +title: "Use dbt Copilot" +sidebar_label: "Use dbt Copilot" +description: "Use the dbt Copilot AI engine to generate documentation, tests, and semantic models from scratch, giving you the flexibility to modify or fix generated code." +--- + +# Use dbt Copilot + +Use dbt Copilot to generate documentation, tests, and semantic models from scratch, giving you the flexibility to modify or fix generated code. To access and use this AI engine: + +1. Navigate to the dbt Cloud IDE and select a SQL model file under the **File Explorer**. + +2. In the **Console** section (under the **File Editor**), click **dbt Copilot** to view the available AI options. + +3. Select the available options to generate the YAML config: **Generate Documentation**, **Generate Tests**, or **Generate Semantic Model**. + - To generate multiple YAML configs for the same model, click each option separately. dbt Copilot intelligently saves the YAML config in the same file. + +4. Verify the AI-generated code. You can update or fix the code as needed. + +5. Click **Save As**. You should see the file changes under the **Version control** section. + + diff --git a/website/docs/docs/dbt-versions/release-notes.md b/website/docs/docs/dbt-versions/release-notes.md index 9030ca8e722..fc8d0265072 100644 --- a/website/docs/docs/dbt-versions/release-notes.md +++ b/website/docs/docs/dbt-versions/release-notes.md @@ -37,7 +37,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo ## September 2024 -- **New**: Use dbt Assist's co-pilot feature to generate semantic model for your models, now available in beta. dbt Assist automatically generates documentation, tests, and now semantic models based on the data in your model, . To learn more, refer to [dbt Assist](/docs/cloud/dbt-assist). +- **New**: Use the dbt Copilot AI engine to generate semantic model for your models, now available in beta. dbt Copilot automatically generates documentation, tests, and now semantic models based on the data in your model, . To learn more, refer to [dbt Copilot](/docs/cloud/dbt-copilot). - **New**: Use the new recommended syntax for [defining `foreign_key` constraints](/reference/resource-properties/constraints) using `refs`, available in dbt Cloud Versionless. This will soon be released in dbt Core v1.9. This new syntax will capture dependencies and works across different environments. - **Enhancement**: You can now run [Semantic Layer commands](/docs/build/metricflow-commands) commands in the [dbt Cloud IDE](/docs/cloud/dbt-cloud-ide/develop-in-the-cloud). The supported commands are `dbt sl list`, `dbt sl list metrics`, `dbt sl list dimension-values`, `dbt sl list saved-queries`, `dbt sl query`, `dbt sl list dimensions`, `dbt sl list entities`, and `dbt sl validate`. - **New**: Microsoft Excel, a dbt Semantic Layer integration, is now generally available. The integration allows you to connect to Microsoft Excel to query metrics and collaborate with your team. Available for [Excel Desktop](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationId=4132ecd1-425d-982d-efb4-de94ebc83f26) or [Excel Online](https://pages.store.office.com/addinsinstallpage.aspx?assetid=WA200007100&rs=en-US&correlationid=4132ecd1-425d-982d-efb4-de94ebc83f26&isWac=True). For more information, refer to [Microsoft Excel](/docs/cloud-integrations/semantic-layer/excel). @@ -108,7 +108,7 @@ Release notes are grouped by month for both multi-tenant and virtual private clo The following features are new or enhanced as part of our [dbt Cloud Launch Showcase](https://www.getdbt.com/resources/webinars/dbt-cloud-launch-showcase) event on May 14th, 2024: -- **New:** [dbt Assist](/docs/cloud/dbt-assist) is a powerful AI feature helping you generate documentation and tests, saving you time as you deliver high-quality data. Available in private beta for a subset of dbt Cloud Enterprise users and in the dbt Cloud IDE. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta. +- **New:** [dbt Copilot](/docs/cloud/dbt-copilot) is a powerful AI engine helping you generate documentation, tests, and semantic models, saving you time as you deliver high-quality data. Available in private beta for a subset of dbt Cloud Enterprise users and in the dbt Cloud IDE. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta. - **New:** The new low-code editor, now in private beta, enables less SQL-savvy analysts to create or edit dbt models through a visual, drag-and-drop experience inside of dbt Cloud. These models compile directly to SQL and are indistinguishable from other dbt models in your projects: they are version-controlled, can be accessed across projects in dbt Mesh, and integrate with dbt Explorer and the Cloud IDE. [Register your interest](https://docs.google.com/forms/d/e/1FAIpQLScPjRGyrtgfmdY919Pf3kgqI5E95xxPXz-8JoVruw-L9jVtxg/viewform) to join the private beta. diff --git a/website/sidebars.js b/website/sidebars.js index 44dceb466dd..3b93c19616a 100644 --- a/website/sidebars.js +++ b/website/sidebars.js @@ -290,13 +290,13 @@ const sidebarSettings = { "docs/cloud/dbt-cloud-ide/lint-format", { type: "category", - label: "dbt Assist", - link: { type: "doc", id: "docs/cloud/dbt-assist" }, + label: "dbt Copilot", + link: { type: "doc", id: "docs/cloud/dbt-copilot" }, items: [ - "docs/cloud/dbt-assist", - "docs/cloud/enable-dbt-assist", - "docs/cloud/use-dbt-assist", - "docs/cloud/dbt-assist-data", + "docs/cloud/dbt-copilot", + "docs/cloud/enable-dbt-copilot", + "docs/cloud/use-dbt-copilot", + "docs/cloud/dbt-copilot-data", ], }, ], diff --git a/website/static/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif b/website/static/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif new file mode 100644 index 00000000000..cca8db37a0a Binary files /dev/null and b/website/static/img/docs/dbt-cloud/cloud-ide/dbt-copilot-doc.gif differ diff --git a/website/vercel.json b/website/vercel.json index e882b50d2fc..4f5a92ccb08 100644 --- a/website/vercel.json +++ b/website/vercel.json @@ -2,6 +2,26 @@ "cleanUrls": true, "trailingSlash": false, "redirects": [ + { + "source": "/docs/cloud/dbt-assist-data", + "destination": "/docs/cloud/dbt-copilot-data", + "permanent": true + }, + { + "source": "/docs/cloud/use-dbt-assist", + "destination": "/docs/cloud/use-dbt-copilot", + "permanent": true + }, + { + "source": "/docs/cloud/enable-dbt-assist", + "destination": "/docs/cloud/enable-dbt-copilot", + "permanent": true + }, + { + "source": "/docs/cloud/dbt-assist", + "destination": "/docs/cloud/dbt-copilot", + "permanent": true + }, { "source": "/faqs/Troubleshooting/access_token_error", "destination": "/faqs/Troubleshooting/auth-expired-error",