From 7b37f4ef91674037d52c41e2a8fabd9f3f55f605 Mon Sep 17 00:00:00 2001 From: Vadim Smirnov <62517920+FuzzyReason@users.noreply.github.com> Date: Tue, 25 Jun 2024 17:56:37 +0200 Subject: [PATCH] docs upd (#42) Co-authored-by: Max --- astro.config.mjs | 17 ++- src/assets/3-party-apis.png | Bin 0 -> 106208 bytes src/assets/active-license.png | Bin 0 -> 47191 bytes src/assets/ami.png | Bin 0 -> 504359 bytes src/assets/api-keys-link.png | Bin 0 -> 180174 bytes src/assets/assign-models-loras.png | Bin 0 -> 127081 bytes src/assets/chat-commands.png | Bin 0 -> 31060 bytes src/assets/enterprise-refact-users-create.png | Bin 0 -> 125981 bytes ...terprise-refact-users-retrieve-api-key.png | Bin 0 -> 22555 bytes src/assets/instance_name.png | Bin 0 -> 352077 bytes src/assets/instance_type.png | Bin 0 -> 343213 bytes src/assets/key_pair.png | Bin 303525 -> 337952 bytes src/assets/launch_instance_marketplace.png | Bin 0 -> 453347 bytes ...unch_instance_marketplace_confirmation.png | Bin 0 -> 224416 bytes src/assets/launch_instance_success.png | Bin 0 -> 63936 bytes src/assets/license-page.png | Bin 0 -> 75371 bytes src/assets/network_settings.png | Bin 0 -> 487995 bytes src/assets/refact_continue.png | Bin 0 -> 276715 bytes src/assets/refact_launch.png | Bin 0 -> 231052 bytes src/assets/refact_marketplace.png | Bin 0 -> 659938 bytes src/assets/refact_region.png | Bin 0 -> 286038 bytes src/assets/refact_terms.png | Bin 0 -> 418744 bytes src/assets/token_creation.png | Bin 0 -> 80560 bytes src/content/docs/features/ai-chat.md | 2 + src/content/docs/features/ai-toolbox.md | 4 +- src/content/docs/guides/deployment/aws.md | 101 ------------------ src/content/docs/guides/deployment/aws/ec2.md | 47 ++++++++ .../guides/deployment/aws/getting-started.md | 23 ++++ .../docs/guides/deployment/aws/marketplace.md | 12 +++ .../docs/guides/deployment/aws/usage.md | 16 +++ .../getting-started.md} | 39 ++----- .../version-specific/enterprise/license.md | 17 +++ .../enterprise/model-hosting.md | 16 +++ .../version-specific/enterprise/plugins.md | 9 ++ .../version-specific/enterprise/users.md | 44 ++++++++ src/content/docs/supported-models.md | 60 +++++++++-- 36 files changed, 269 insertions(+), 138 deletions(-) create mode 100644 src/assets/3-party-apis.png create mode 100644 src/assets/active-license.png create mode 100644 src/assets/ami.png create mode 100644 src/assets/api-keys-link.png create mode 100644 src/assets/assign-models-loras.png create mode 100644 src/assets/chat-commands.png create mode 100644 src/assets/enterprise-refact-users-create.png create mode 100644 src/assets/enterprise-refact-users-retrieve-api-key.png create mode 100644 src/assets/instance_name.png create mode 100644 src/assets/instance_type.png create mode 100644 src/assets/launch_instance_marketplace.png create mode 100644 src/assets/launch_instance_marketplace_confirmation.png create mode 100644 src/assets/launch_instance_success.png create mode 100644 src/assets/license-page.png create mode 100644 src/assets/network_settings.png create mode 100644 src/assets/refact_continue.png create mode 100644 src/assets/refact_launch.png create mode 100644 src/assets/refact_marketplace.png create mode 100644 src/assets/refact_region.png create mode 100644 src/assets/refact_terms.png create mode 100644 src/assets/token_creation.png delete mode 100644 src/content/docs/guides/deployment/aws.md create mode 100644 src/content/docs/guides/deployment/aws/ec2.md create mode 100644 src/content/docs/guides/deployment/aws/getting-started.md create mode 100644 src/content/docs/guides/deployment/aws/marketplace.md create mode 100644 src/content/docs/guides/deployment/aws/usage.md rename src/content/docs/guides/version-specific/{enterprise.md => enterprise/getting-started.md} (57%) create mode 100644 src/content/docs/guides/version-specific/enterprise/license.md create mode 100644 src/content/docs/guides/version-specific/enterprise/model-hosting.md create mode 100644 src/content/docs/guides/version-specific/enterprise/plugins.md create mode 100644 src/content/docs/guides/version-specific/enterprise/users.md diff --git a/astro.config.mjs b/astro.config.mjs index 7474e79..111403b 100644 --- a/astro.config.mjs +++ b/astro.config.mjs @@ -87,7 +87,12 @@ export default defineConfig({ { label: 'Deployment', items: [ { label: 'Runpod Deployment', link: '/guides/deployment/runpod/' }, - { label: 'AWS Deployment', link: '/guides/deployment/aws/' }, + { label: 'AWS Deployment', items: [ + { label: 'Getting Started', link: '/guides/deployment/aws/getting-started' }, + { label: 'Launch from EC2', link: '/guides/deployment/aws/ec2/' }, + { label: 'Launch from Website', link: '/guides/deployment/aws/marketplace/' }, + { label: 'Usage', link: '/guides/deployment/aws/usage/' }, + ] }, ] }, { label: 'Authentication', @@ -98,7 +103,15 @@ export default defineConfig({ { label: 'Version-specific Usage', items: [ { label: 'Self-hosted Refact', link: '/guides/version-specific/self-hosted/' }, - { label: 'Enterprise Refact', link: '/guides/version-specific/enterprise/' }, + { label: 'Enterprise Refact', + items: [ + { label: 'Getting Started', link: '/guides/version-specific/enterprise/getting-started' }, + { label: 'License', link: '/guides/version-specific/enterprise/license/' }, + { label: 'Users', link: '/guides/version-specific/enterprise/users/' }, + { label: 'Model Hosting', link: '/guides/version-specific/enterprise/model-hosting/' }, + { label: 'Plugins', link: '/guides/version-specific/enterprise/plugins/' }, + ] + }, { label: 'Refact Teams', link: '/guides/version-specific/teams/' }, ] }, diff --git a/src/assets/3-party-apis.png b/src/assets/3-party-apis.png new file mode 100644 index 0000000000000000000000000000000000000000..d0f0478d74dd211ae6f5e9a26b793a1b1a50bd72 GIT binary patch literal 106208 zcmb50c{r5)`}f<0qEM7EqHLv+77T+*qHHN^wj|`nFlI25tt=_akg_$FEK#;BWf_u) 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zc#`#^gQJGd|9t451LN1)=L4Trp0cYD@IRjPfByzIz)Sn?eL6Px`}G0;*AMchfYLBu z0-5-q_xumP@XreT`zHQfiGO3_e{GxpY_flM$G^Md-`(-=?)di<{S^cM))W8a!+%%e z-<9~^C&Rxn@o!B08x#MpYT@7A@$c^V|9E$V(a&ZR@1Z7TO8tHV{ykB9rds*%Mfm># DpbtH< literal 0 HcmV?d00001 diff --git a/src/content/docs/features/ai-chat.md b/src/content/docs/features/ai-chat.md index 15d5811..965b860 100644 --- a/src/content/docs/features/ai-chat.md +++ b/src/content/docs/features/ai-chat.md @@ -15,6 +15,8 @@ Context length depends on the plan you have chosen for your account: This section outlines various commands that can be used in the AI chat. Below you can find information about functionality and usage of each command. +![Chat Commands](../../../assets/chat-commands.png) + ### `@workspace` - **Description**: Searches within VecDB for any specified query. This command allows you to search for any query within your repository/workspace. diff --git a/src/content/docs/features/ai-toolbox.md b/src/content/docs/features/ai-toolbox.md index ccdc641..e995173 100644 --- a/src/content/docs/features/ai-toolbox.md +++ b/src/content/docs/features/ai-toolbox.md @@ -58,4 +58,6 @@ When entering the `/help` command, you will see your custom command in the list ![Refact Toolbox](../../../assets/custom_command.png) -All of the commands in the Toolbox are available in the `~/.cache/refact/customization.yaml` file. If you want to reset the Toolbox to the default, you can delete this file. \ No newline at end of file +:::note +When using toolbox commands without the `/` symbol, the command will be executed in the chat interface. Also, the command will be executed in the toolbox window. +::: diff --git a/src/content/docs/guides/deployment/aws.md b/src/content/docs/guides/deployment/aws.md deleted file mode 100644 index 5b38476..0000000 --- a/src/content/docs/guides/deployment/aws.md +++ /dev/null @@ -1,101 +0,0 @@ ---- -title: Deploying Refact.ai on AWS -description: A page with instructions on how to deploy Refact on AWS. ---- - -This guide provides step-by-step instructions for deploying Refact on AWS. - -## Prerequisites -- An AWS account - -## Log into AWS -1. Navigate to the AWS Console. -2. Log in using your credentials. -3. Locate and select the EC2 Service to access the EC2 Dashboard. - -![AWS Console](../../../../assets/aws_console.png) - -## Create a Key Pair -1. In the EC2 Dashboard, find the `Key Pairs` option in the sidebar under `Network & Security`. -2. Click on Create Key Pair. -3. Name your key pair (e.g., `refact_id_rsa`) and create it. -4. Download the key pair file (`.pem` file) to your computer. - -:::note -This file is necessary for SSH connections to your EC2 instance. -::: - -![Key Pair](../../../../assets/key_pair.png) - -## Launch an EC2 Instance -1. Return to the Dashboard and click `Launch Instance`. -2. For the AMI selection, choose an Ubuntu server image that includes NVIDIA drivers. **Note**: Ignore the AMI options that come with PyTorch and TensorFlow pre-installed. We'll use Docker to manage all necessary packages. ![Launch Instance](../../../../assets/launch_instance.png) - :::caution - Make sure to select the right `Amazon Machine Image` (AMI). The correct AMI is - `Deep Learning Base OSS Nvidia Driver GPU AMI (Ubuntu 20.04)` - ::: -3. Click `Compare` instance types. Use the filter to select a GPU machine type according to your requirements. ![Compare](../../../../assets/compare.png) -4. Proceed to select your previously created key pair during instance setup. -5. Under Network settings and Storage, you can stick with the default configurations or adjust according to your needs. -6. Click `Launch Instance` to deploy your Ubuntu server. - -![Launching](../../../../assets/launching.png) - -## Access Your EC2 Instance - -1. After the instance is up and running, navigate to Instances in the sidebar to find your new machine. ![AWS Machine](../../../../assets/aws_machine.png) -2. Locate the `Public IPv4 DNS` address for your instance (e.g., `ec2-16-16-212-226.eu-north-1.compute.amazonaws.com`). -3. Open a terminal on your computer and establish an SSH connection with the command: - -```bash -ssh -i "/path/to/your/refact_id_rsa.pem" ubuntu@ec2-16-16-212-226.eu-north-1.compute.amazonaws.com -``` -Replace `"/path/to/your/refact_id_rsa.pem"` with the actual path to your downloaded key pair file. - -## Deploy Refact - -Once connected via SSH, continue to the [Refact Enterprise](https://docs.refact.ai/guides/version-specific/enterprise/) page to learn how to use Refact for teams. - -## Known issues - -### Incorrect AMI - -**Cause**: When the host system performs a `daemon-reload` or a similar operation, it may impact containers that use systemd to manage `cgroups`. - -Specifically, `daemon-reload` can trigger the reloading of any unit files that reference NVIDIA GPUs. - -As a result, the container may lose access to these GPU references. - -This issue is particularly prevalent on `Ubuntu 22.04` systems. To avoid this, use the `Deep Learning Base OSS Nvidia Driver GPU AMI (Ubuntu 20.04)` which comes with pre-installed NVIDIA components. - -**Solution**: To resolve this issue, follow these steps: - -1. **Install Nvidia Docker**: - Begin by installing the Nvidia Docker on the host system. Comprehensive installation instructions are available at the Nvidia Docker Installation Guide. -2. **Modify the Docker Configuration**: - - Open the `daemon.json` file on the host system using the command: - ``` - sudo nano /etc/docker/daemon.json - ``` - - Add the following parameter setting to the `daemon.json` file to specify the cgroup driver: - ```json - "exec-opts": ["native.cgroupdriver=cgroupfs"] - ``` - - Ensure that the file looks like the following: - ```json - { - "runtimes": { - "nvidia": { - "path": "nvidia-container-runtime", - "args": [] - } - }, - "exec-opts": ["native.cgroupdriver=cgroupfs"] - } - ``` - - Save the file and exit the editor. -3. **Restart Docker Service**: - Restart the Docker service using the command: - ``` - sudo service docker restart - ``` \ No newline at end of file diff --git a/src/content/docs/guides/deployment/aws/ec2.md b/src/content/docs/guides/deployment/aws/ec2.md new file mode 100644 index 0000000..b886f93 --- /dev/null +++ b/src/content/docs/guides/deployment/aws/ec2.md @@ -0,0 +1,47 @@ +--- +title: Deploying Refact.ai on AWS - Launch Through EC2 +description: A page with instructions on how to deploy Refact on AWS. +--- + +When deploying Refact.ai through the Amazon EC2 Console, you will see the form with pre-filled values. Only two of these values need to be manually changed. + +## Instance Name + +The instance name is the name that will be used to identify the instance in the AWS console. This value needs to be entered manually. + +![Instance Name](../../../../../assets/instance_name.png) + +## Application and OS Images (Amazon Machine Image) + +AMI (Amazon Machine Image) is the template that is responsible for containing the Refact.ai configurations. The AMI is pre-selected and does not need to be changed. + +![AMI](../../../../../assets/ami.png) + +## Instance Type + +The instance type is pre-selected and does not need to be changed. + +:::note +`g5` family instance types are recommended for production use. Contact Refact.ai team for recommendation on the amount of GPUs suitable for your use case. +::: + +![Instance Type](../../../../../assets/instance_type.png) + +## Key Pair (Optional) + +The key pair is necessary for SSH connections to your EC2 instance. +To create a key pair press the `Create Key Pair` button. + +![Key Pair](../../../../../assets/key_pair.png) + +## Network Settings + +The network settings are pre-selected and do not need to be changed. +The values should match the onees on the screenshot below. + +![Network Settings](../../../../../assets/network_settings.png) + +After verifying the settings, click on the `Launch Instance` button. +You will see the following screen, confirming that the instance is being created. + +![Launch Instance](../../../../../assets/launch_instance_success.png) \ No newline at end of file diff --git a/src/content/docs/guides/deployment/aws/getting-started.md b/src/content/docs/guides/deployment/aws/getting-started.md new file mode 100644 index 0000000..00b5fd2 --- /dev/null +++ b/src/content/docs/guides/deployment/aws/getting-started.md @@ -0,0 +1,23 @@ +--- +title: Deploying Refact.ai on AWS - Getting Started +description: A page with instructions on how to deploy Refact on AWS. +--- + +This guide provides step-by-step instructions for deploying Refact on AWS. + +Navigate to Refact.ai Marketplace Page to deploy Refact on AWS. + +1. On the Refact.ai Marketplace page, press **Continiue to Subscribe**. +![Refact.ai Marketplace Page](../../../../../assets/refact_marketplace.png) +2. Accept the terms and conditions. +![Refact.ai Marketplace Page](../../../../../assets/refact_terms.png) +3. Press the **Continue to Configuration** button. +![Continue to Configuration button](../../../../../assets/refact_continue.png) +4. Select the **Region** and **Software Version**. Sotware version reffers to the Refact version you want to deploy. By default, the latest version is selected. +![Select Region and Software Version](../../../../../assets/refact_region.png) + +Press the **Continue to Launch** button. There are two options to proceed with in the drop-down menu. Follow one of the guides to launch Refact: +- [Launch through EC2](https://docs.refact.ai/guides/deployment/aws/ec2/) - this option is recommended for advanced users. +- [Launch from Website](https://docs.refact.ai/guides/deployment/aws/marketplace/) - this option is recommended for faster deployment. + +![Launch Instance](../../../../../assets/refact_launch.png) \ No newline at end of file diff --git a/src/content/docs/guides/deployment/aws/marketplace.md b/src/content/docs/guides/deployment/aws/marketplace.md new file mode 100644 index 0000000..af002ed --- /dev/null +++ b/src/content/docs/guides/deployment/aws/marketplace.md @@ -0,0 +1,12 @@ +--- +title: Deploying Refact.ai on AWS - Through AWS Marketplace +description: A page with instructions on how to deploy Refact on AWS. +--- + +When selecting the option to deploy Refact.ai through the Marketplace page, you will be presented with a screen that will have everything pre-configured for you. + +![Markeplace Launch](../../../../../assets/launch_instance_marketplace.png) + +Once you click on the Launch button, you will be presented with a screen that will confirm that your instance is successfully deployed. + +![Launch Confirmation](../../../../../assets/launch_instance_marketplace_confirmation.png) \ No newline at end of file diff --git a/src/content/docs/guides/deployment/aws/usage.md b/src/content/docs/guides/deployment/aws/usage.md new file mode 100644 index 0000000..87d75e6 --- /dev/null +++ b/src/content/docs/guides/deployment/aws/usage.md @@ -0,0 +1,16 @@ +--- +title: Deploying Refact.ai on AWS - Usage +description: A page with instructions on how to deploy Refact on AWS. +--- + +In order to use your Refact.ai instance on AWS, you need to navigate to the AWS Console and locate the newly created instance. + +![AWS Machine](../../../../../assets/aws_machine.png) + +In the instance summary, locate the `Public IPv4 DNS`. This is the value you will need to use to access your instance. + +After navigating to the instance, you will need to create an access token to use with Refact.ai. + +![Token Creation](../../../../../assets/token_creation.png) + +Once you have created the token, you need to activate your Refact.ai license. Navigate to the [License Activation Giude](https://docs.refact.ai/guides/version-specific/enterprise/license/) for more information. \ No newline at end of file diff --git a/src/content/docs/guides/version-specific/enterprise.md b/src/content/docs/guides/version-specific/enterprise/getting-started.md similarity index 57% rename from src/content/docs/guides/version-specific/enterprise.md rename to src/content/docs/guides/version-specific/enterprise/getting-started.md index a251c2f..6959363 100644 --- a/src/content/docs/guides/version-specific/enterprise.md +++ b/src/content/docs/guides/version-specific/enterprise/getting-started.md @@ -1,5 +1,5 @@ --- -title: Enterprise Refact Edition +title: Enterprise Refact Edition - Getting Started description: What Enterprise Refact is and how it works. --- @@ -8,8 +8,13 @@ The enterprise plan is designed for teams who want to have full control over the ## Prerequisites -- Docker with GPU support -- `docker-compose 1.29.2` or higher +:::note +This and the following step are required to deploy the Refact server in a local environment. If you are using services like AWS or Runpod, read one of the following guides: +- [Runpod Guide](https://docs.refact.ai/guides/deployment/runpod/) +- [AWS Guide](https://docs.refact.ai/guides/deployment/aws/getting-started) +::: + +- Docker with GPU support. Follow the link to [install Docker](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#docker). On Windows you need to install WSL 2 first. Follow the guide to [install WSL 2](https://docs.docker.com/desktop/install/windows-install). ## Pull Docker Image @@ -23,7 +28,7 @@ If you have used the enterprise with a `beta` tag before, please ensure you use ::: [Download](https://docs.refact.ai/docker-compose.yml) the `docker-compose.yml` file and run the docker `compose up` command in your terminal. -## Generating a Random Admin Password +## Generating a Random Admin Password (Optional) The Refact server is designed to be safe to expose to the internet. To do it correctly, make sure you don't skip these two steps: 1. Generate a random password using the `openssl` utility: @@ -41,28 +46,6 @@ The unencrypted HTTP is fine when using a local network or VPN. But the plugins Server Web UI requires an admin password to log in. If you forgot the password, you can delete the container and run it again. The `docker-compose.yml` defines persistent volumes to store all the important data, they will survive container restart, kill/run cycle or upgrade. -### Activating the License - -Enter your license key in Settings -> License. Once it's activated you will see the number of users and the expiration date for your license. -If you don't have an enterprise license key, please [contact the Refact team](https://refact.ai/contact/), and will arrange it for you. - -### Access Control - -Managing users is possible through the Access Control tab. -Click "Add new user" and the user and their unique API key will be generated automatically. -You can also add the team for each user. - -![Login](../../../../assets/enterprise-users.png) - -### Enabling vLLM - -With the enterprise version of Refact, you can use an inference engine that uses PagedAttention from the vLLM library. It works faster and supports continuous batching, which means it can start work on new inference tasks, while continuing to serve other clients at the same time. - -To enable vLLM select the Refact/1.6B/vllm model from the list of available models. - -## Setting up the plugins -For VS Code: go to “Settings” and specify the server address and Refact API key provided by your admin. - -For JetBrains: go to “Settings” and specify the server address and the Refact API key provided by your admin. +## User Management -Once you connect the API key, start writing code, and code suggestions from a selected model will appear automatically. +To find out how to manage users, refer to the [User Creation](https://docs.refact.ai/guides/version-specific/enterprise/users/#create-a-user) section. \ No newline at end of file diff --git a/src/content/docs/guides/version-specific/enterprise/license.md b/src/content/docs/guides/version-specific/enterprise/license.md new file mode 100644 index 0000000..016d585 --- /dev/null +++ b/src/content/docs/guides/version-specific/enterprise/license.md @@ -0,0 +1,17 @@ +--- +title: Enterprise Refact Edition - Activating the License +description: How to set up plugins for Enterprise Refact Edition +--- + +## Enter your license key +Navigate to the **License** page through the **Settings** drown menu in the top right corner and input your license key. + +![License Page](../../../../../assets/license-page.png) + +## Check Activation +After activation, you will see the **number of users** and the **expiration date** for your license. + +![Active License](../../../../../assets/active-license.png) + +## Need an Enterprise License? +If you don't have an enterprise license key, please [contact](https://refact.ai/contact/) the Refact team to get one. \ No newline at end of file diff --git a/src/content/docs/guides/version-specific/enterprise/model-hosting.md b/src/content/docs/guides/version-specific/enterprise/model-hosting.md new file mode 100644 index 0000000..a49ce9d --- /dev/null +++ b/src/content/docs/guides/version-specific/enterprise/model-hosting.md @@ -0,0 +1,16 @@ +--- +title: Enterprise Refact Edition - Model Hosting +description: What Enterprise Refact is and how it works. +--- + +Refact Enterprise Refact is a version that is optimized for enterprise use cases. It allows you to use all of the models avaliable in Refact.ai Self-hosted and also supports vLLM models. + +### Enabling vLLM + +With the enterprise version of Refact, you can use an inference engine that uses `PagedAttention` from the vLLM library. It works faster and supports continuous batching, which means it can start work on new inference tasks, while continuing to serve other clients at the same time. + +To enable vLLM select one the available vLLM models in the **Model Hosting** page. The full list of available models can be found on the [Supported Models page](https://docs.refact.ai/supported-models/). + +:::note +vLLM models are suitable for a fast inference. The limiatation with the vLLM models is that they **don't support sharding**. +::: \ No newline at end of file diff --git a/src/content/docs/guides/version-specific/enterprise/plugins.md b/src/content/docs/guides/version-specific/enterprise/plugins.md new file mode 100644 index 0000000..716c234 --- /dev/null +++ b/src/content/docs/guides/version-specific/enterprise/plugins.md @@ -0,0 +1,9 @@ +--- +title: Enterprise Refact Edition - Setting Up Plugins +description: How to set up plugins for Enterprise Refact Edition +--- + +- **VS Code**: go to **Settings** and specify the **server address** and **Refact API key** provided by your admin. +- **JetBrains**: go to **Settings** and specify the **server address** and the **Refact API key** provided by your admin. + +Once you connect the API key, start writing code, and code suggestions from a selected model will appear automatically. \ No newline at end of file diff --git a/src/content/docs/guides/version-specific/enterprise/users.md b/src/content/docs/guides/version-specific/enterprise/users.md new file mode 100644 index 0000000..aaebe1a --- /dev/null +++ b/src/content/docs/guides/version-specific/enterprise/users.md @@ -0,0 +1,44 @@ +--- +title: Enterprise Refact Edition - Users +description: What Enterprise Refact is and how it works. +--- + +Refact.ai enterprise edition allows you to create and manage users. You are able to create users, assign them to teams, and manage their access to the platform. + +The amount of users you can create is configured in the license. If you are not sure what is the amount of users associated with your license, please [contact the Refact team](https://refact.ai/contact/). + +## Create a user + +1. Navigate to the **Users** tab. +2. Click the **Add user** button. +3. Enter the **user's name** and the **team** to which the user will be assigned. +![Create a user](../../../../../assets/enterprise-refact-users-create.png) +5. Click the **Save** button. + +:::note +You can change the **team** to which the user will be assigned after creating the user. Press the **Edit** button associated with the user and type the new team name and click the **Save** button. +::: + +## Retrevieng the API key of a user + +For admins, you can retrieve the API key of a user to share with users to complete the authorization process. To retrieve the API key of a user: + +1. Navigate to the **Users** tab. +2. Click the **Edit** button associated with the user. +3. Copy the API key. That value will be used to complete the authorization process in the IDE. +![Retrieve the API key of a user](../../../../../assets/enterprise-refact-users-retrieve-api-key.png) + +## Advanced Authentication + +For advanced authentication, refer to the [Keycloak Integration guide](https://docs.refact.ai/guides/authentication/keycloak/). + +## Assigning models and LoRAs to users + +You can different models and LoRAs to teams. To assign models and LoRAs use the following guide: + +1. Navigate to the **Users** tab. +2. On the right side of the page locate the **Team Preferences** section. + +By default, the base model that is configured on **Model Hosting** page is assigned to all teams. To assign a LoRA to a team, click the name of the model under the **Default Completion Model** section. In the dropdown menu, select the LoRA that you want to assign to the specific team. + +![Assigning models and LoRAs to users](../../../../../assets/assign-models-loras.png) \ No newline at end of file diff --git a/src/content/docs/supported-models.md b/src/content/docs/supported-models.md index 717a3fa..513d1c0 100644 --- a/src/content/docs/supported-models.md +++ b/src/content/docs/supported-models.md @@ -38,6 +38,10 @@ In Refact self-hosted you can select between the following models: ✓ +starcoder/1b/vllm + + + starcoder/3b/base ✓ @@ -46,16 +50,12 @@ In Refact self-hosted you can select between the following models: -starcoder/7b/base -✓ - - deepseek-coder/1.3b/base ✓ deepseek-coder/1.3b/vllm - +✓ deepseek-coder/5.7b/mqa-base @@ -63,13 +63,17 @@ In Refact self-hosted you can select between the following models: deepseek-coder/5.7b/vllm - +✓ codellama/7b ✓ +stable/3b/code + + + starcoder/15b/base @@ -89,6 +93,26 @@ In Refact self-hosted you can select between the following models: wizardcoder/15b + +starcoder2/15b/base +✓ + + +starcoder2/3b/base +✓ + + +starcoder2/3b/vllm +✓ + + +starcoder2/7b/base +✓ + + +starcoder2/7b/vllm +✓ + @@ -110,6 +134,12 @@ In Refact self-hosted you can select between the following models: deepseek-coder/6.7b/instruct +deepseek-coder/6.7b/instruct-finetune + + +deepseek-coder/6.7b/instruct-finetune/vllm + + wizardlm/7b @@ -137,3 +167,21 @@ In Refact self-hosted you can select between the following models: For an up-to-date list of models, see the [Known Models file on GitHub](https://github.com/smallcloudai/refact-lsp/blob/main/src/known_models.rs). + +## Integrations + +Refact.ai offers **OpenAI** and **Anthropic API** integrations. + +To enable these integrations, navigate to the **Model Hosting** page activate the **OpenAI** and/or **Anthropic** integrations by pressing the switch button in the **3rd Party APIs** section. + +![3rd Party APIs Secction](../../assets/3-party-apis.png) + +Press **API Keys tab** link, you will be redirected to the integrations page. Alternatively, you can access the integrations page by clicking on the **Settings** dropdown menu in the header and selecting **Credentials**. + +![Model Hosting Page with Dropdown Expanded](../../assets/api-keys-link.png) + +In the **Credentials** page, you can specify your **OpenAI** and/or **Anthropic** API keys. + +:::note +Make sure the switch button is enabled for each API you want to use. Even if you specify the API key, it will not be used until the switch button is enabled. +::: \ No newline at end of file

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