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docs: update docs about Tabby Cloud. (#740)

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Zhiming Ma 2023-11-09 14:47:49 +08:00 committed by GitHub
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# Tabby Plugin for IntelliJ Platform # Tabby Plugin for IntelliJ Platform
[![JetBrains plugins](https://img.shields.io/jetbrains/plugin/d/22379-tabby)](https://plugins.jetbrains.com/plugin/22379-tabby) [![JetBrains plugins](https://img.shields.io/jetbrains/plugin/d/22379-tabby)](https://plugins.jetbrains.com/plugin/22379-tabby)
[![Slack Community](https://shields.io/badge/Tabby-Join%20Slack-red?logo=slack)](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA)
Tabby is an AI coding assistant that can suggest multi-line code or full functions in real-time. Tabby is an AI coding assistant that can suggest multi-line code or full functions in real-time.
@ -7,14 +9,12 @@ Tabby IntelliJ Platform plugin works with all [IntelliJ Platform IDEs](https://p
## Getting Started ## Getting Started
1. Set up the Tabby Server: you can build your self-hosted Tabby server following [this guide](https://tabby.tabbyml.com/docs/installation/), or get a Tabby Cloud hosted server [here](https://app.tabbyml.com). 1. Set up the Tabby Server: you can build your self-hosted Tabby server following [this guide](https://tabby.tabbyml.com/docs/installation/).
**Note**: Tabby Cloud is currently in **closed** beta. Join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) and ask in Tabby Cloud channel to get a beta invite.
2. Install Tabby plugin from [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/22379-tabby). 2. Install Tabby plugin from [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/22379-tabby).
3. Install [Node.js](https://nodejs.org/en/download/) version 18.0 or higher. 3. Install [Node.js](https://nodejs.org/en/download/) version 18.0 or higher.
4. Open the settings by clicking on the Tabby plugin status bar item and select `Open Settings...`. 4. Open the settings by clicking on the Tabby plugin status bar item and select `Open Settings...`.
1. Fill in the server endpoint URL to connect the plugin to your Tabby server. 1. Fill in the server endpoint URL to connect the plugin to your Tabby server.
* If you are using default port `http://localhost:8080`, you can skip this step. * If you are using default port `http://localhost:8080`, you can skip this step.
* If you are using a Tabby Cloud server endpoint, follow the instructions provided in the popup messages to complete the authorization process.
2. Enter the node binary path into the designated field 2. Enter the node binary path into the designated field
* If node binary is already accessible via your `PATH` environment variable, you can skip this step. * If node binary is already accessible via your `PATH` environment variable, you can skip this step.
* Remember to save the settings and restart the IDE if you made changes to this option. * Remember to save the settings and restart the IDE if you made changes to this option.

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:Tabby status Check the status of Tabby. Report error message if any :Tabby status Check the status of Tabby. Report error message if any
issue exists. issue exists.
*:Tabby-auth* *:Tabby-auth*
:Tabby auth Check the status of Tabby. Report error message if any :Tabby auth Start to complete the authentication process. Only used
issue exists. when you are using a Tabby Cloud endpoint.
*:Tabby-help* *:Tabby-help*
:Tabby help [subject] Search for help information in this document using :Tabby help [subject] Search for help information in this document using
VIM command `:help`. VIM command `:help`.

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@ -10,7 +10,7 @@ Tabby is an AI coding assistant that can suggest multi-line code or full functio
Tabby VSCode extension is compatible with `VSCode ≥ 1.82.0`, as well as web environments like [vscode.dev](https://vscode.dev). Tabby VSCode extension is compatible with `VSCode ≥ 1.82.0`, as well as web environments like [vscode.dev](https://vscode.dev).
For more information, please check out our [Website](https://tabbyml.com/) and [GitHub](https://github.com/TabbyML/tabby). For more information, please check out our [Website](https://tabbyml.com/) and [GitHub](https://github.com/TabbyML/tabby).
If you encounter any problem or have any suggestion, please [open an issue](https://github.com/TabbyML/tabby/issues/new)! If you encounter any problem or have any suggestion, please [open an issue](https://github.com/TabbyML/tabby/issues/new), or join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) for support.
## Demo ## Demo
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Once you have installed the Tabby VSCode extension, you can easily get started by following the built-in walkthrough guides. You can access the walkthrough page at any time by using the command `Tabby: Getting Started`. Once you have installed the Tabby VSCode extension, you can easily get started by following the built-in walkthrough guides. You can access the walkthrough page at any time by using the command `Tabby: Getting Started`.
1. **Setup the Tabby server**: You have two options to set up your Tabby server. You can either build your own self-hosted Tabby server following [this guide](https://tabby.tabbyml.com/docs/installation) or get a Tabby Cloud hosted server [here](https://app.tabbyml.com). 1. **Setup the Tabby server**: You can build your own self-hosted Tabby server following [this guide](https://tabby.tabbyml.com/docs/installation).
**Note**: Tabby Cloud is currently in **closed** beta. Join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) and ask in #help-self-hosting channel to get a beta invite. 2. **Connect the extension to your Tabby server**: Use the command `Tabby: Specify API Endpoint of Tabby` to connect the extension to your Tabby server.
2. **Connect the extension to your Tabby server**: Use the command `Tabby: Specify API Endpoint of Tabby` to connect the extension to your Tabby server. If you are using a Tabby Cloud server endpoint, follow the instructions provided in the popup messages to complete the authorization process.
Once the setup is complete, Tabby will automatically provide inline suggestions. You can accept the suggestions by simply pressing the `Tab` key. Once the setup is complete, Tabby will automatically provide inline suggestions. You can accept the suggestions by simply pressing the `Tab` key.

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# Tabby Server ## Self-Hosted Tabby Server
Choose your preferred way to host your Tabby server, either through Tabby Cloud or by self-hosting.
## Self-Hosting
Tabby is an open-source project and supports self-hosting. For more details, please refer to our [self-hosting guide](https://tabby.tabbyml.com/docs/installation/) and visit our [Github repository](https://github.com/tabbyml/tabby). Tabby is an open-source project and supports self-hosting. For more details, please refer to our [self-hosting guide](https://tabby.tabbyml.com/docs/installation/) and visit our [Github repository](https://github.com/tabbyml/tabby).
## Tabby Cloud If you encounter any problems during server setup, please join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) for support, or [open an issue](https://github.com/TabbyML/tabby/issues/new) on Github.
You can get a Tabby Cloud account [here](https://app.tabbyml.com). Once you create or join a workspace, you will receive a URL for your Tabby server endpoint.
**Note**: Tabby Cloud is currently in **closed** beta. Join our [Slack community](https://join.slack.com/t/tabbycommunity/shared_invite/zt-1xeiddizp-bciR2RtFTaJ37RBxr8VxpA) and ask in #help-self-hosting channel to get a beta invite.

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# Connect to Tabby Server # Connect to Tabby Server
When you execute the command `Tabby: Specify API Endpoint of Tabby`, you will see a prompt asking you to enter the API endpoint of your Tabby server. **Note** If you are using default port `http://localhost:8080`, you can simply skip this step.
Open the command palette and execute the command `Tabby: Specify API Endpoint of Tabby`, you will see a prompt asking you to enter the API endpoint of your Tabby server.
![setApiEndpoint](./setApiEndpoint.png) ![setApiEndpoint](./setApiEndpoint.png)
Once the connection is established, you will see the status bar showing the check mark. Once the connection is established, you will see the Tabby status bar item showing checkmark.
If you are using a Tabby Cloud server endpoint, please follow the popup messages to complete authorization. ![statusbarReady](./statusbarReady.png)

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