Merge dev into shortcuts_settings

docs/docs/administration/global-env.mdx

@@ -0,0 +1,45 @@
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
+
+# Global environment variables
+
+Langflow 1.0 alpha includes the option to add **Global Environment Variables** for your application.
+
+## Add a global variable to a project
+
+In this example, you'll add the `openai_api_key` credential as a global environment variable to the **Basic Prompting** starter project.
+
+For more information on the starter flow, see [Basic prompting](../starter-projects/basic-prompting.mdx).
+
+1. From the Langflow dashboard, click **New Project**.
+2. Select **Basic Prompting**.
+
+The **Basic Prompting** flow is created.
+
+3. To create an environment variable for the **OpenAI** component:
+   1. In the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
+   2. In the **Variable Name** field, enter `openai_api_key`.
+   3. In the **Value** field, paste your OpenAI API Key (`sk-...`).
+   4. For the variable **Type**, select **Credential**.
+   5. In the **Apply to Fields** field, select **OpenAI API Key** to apply this variable to all fields named **OpenAI API Key**.
+   6. Click **Save Variable**.
+
+You now have a `openai_api_key` global environment variable for your Langflow project.
+
+<Admonition type="tip">
+  You can also create global variables in **Settings** > **Variables and
+  Secrets**.
+</Admonition>
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: "img/global-env.png",
+    dark: "img/global-env.png",
+  }}
+  style={{ width: "40%", margin: "20px auto" }}
+/>
+
+4. To view and manage your project's global environment variables, visit **Settings** > **Variables and Secrets**.
+
+For more on variables in HuggingFace Spaces, see [Managing Secrets](https://huggingface.co/docs/hub/spaces-overview#managing-secrets).

docs/docs/administration/playground.mdx

@@ -0,0 +1,29 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
+
+# Playground
+
+In Langflow 1.0 alpha, the **Playground** replaces the **Interaction Panel**.
+
+The **Playground** provides an interface for interacting with flows without opening them in the flow editor.
+
+It even works for flows hosted on the Langflow store!
+
+As long as you have a flow's environment variables set, you can run it by clicking the **Playground** button.
+
+1. From your **Collections** page, click **Playground** in one of your flows.
+   The **Playground** window opens.
+
+<ZoomableImage
+  alt="Docusaurus themed image"
+  sources={{
+    light: useBaseUrl("img/playground-chat.png"),
+    dark: useBaseUrl("img/playground-chat.png"),
+  }}
+  style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
+/>
+
+2. Chat with your bot as you normally would, all without having to open the editor.

docs/docs/contributing/contribute-component.md

@@ -0,0 +1,45 @@
+import ZoomableImage from "/src/theme/ZoomableImage.js";
+
+# How to contribute components?
+
+As of Langflow 1.0 alpha, new components are added as objects of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class and any dependencies are added to the [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
+
+## Add an example component
+
+You have a new document loader called **MyCustomDocumentLoader** and it would look awesome in Langflow.
+
+1. Write your loader as an object of the [CustomComponent](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/interface/custom/custom_component/custom_component.py) class. You'll create a new class, `MyCustomDocumentLoader`, that will inherit from `CustomComponent` and override the base class's methods.
+2. Define optional attributes like `display_name`, `description`, and `documentation` to provide information about your custom component.
+3. Implement the `build_config` method to define the configuration options for your custom component.
+4. Implement the `build` method to define the logic for taking input parameters specified in the `build_config` method and returning the desired output.
+5. Add the code to the [/components/documentloaders](https://github.com/langflow-ai/langflow/tree/dev/src/backend/base/langflow/components) folder.
+6. Add the dependency to [/documentloaders/\_\_init\_\_.py](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/components/documentloaders/__init__.py) as `from .MyCustomDocumentLoader import MyCustomDocumentLoader`.
+7. Add any new dependencies to the outer [pyproject.toml](https://github.com/langflow-ai/langflow/blob/dev/pyproject.toml#L27) file.
+8. Submit documentation for your component. For this example, you'd submit documentation to the [loaders page](https://github.com/langflow-ai/langflow/blob/dev/docs/docs/components/loaders.mdx).
+9. Submit your changes as a pull request. The Langflow team will have a look, suggest changes, and add your component to Langflow.
+
+## User Sharing
+
+You might want to share and test your custom component with others, but don't need it merged into the main source code.
+
+If so, you can share your component on the Langflow store.
+
+1. [Register at the Langflow store](https://www.langflow.store/login/).
+2. Undergo pre-validation before receiving an API key.
+3. To deploy your amazing component directly to the Langflow store, without it being merged into the main source code, navigate to your flow, and then click **Share**.
+   The share window appears:
+
+<ZoomableImage
+alt="Docusaurus themed image"
+sources={{
+    light: "img/add-component-to-store.png",
+    dark: "img/add-component-to-store.png",
+  }}
+style={{ width: "50%", margin: "20px auto" }}
+/>
+
+5. Choose whether you want to flow to be public or private.
+   You can also **Export** your flow as a JSON file from this window.
+   When you're ready to share the flow, click **Share Flow**.
+   You should see a **Flow shared successfully** popup.
+6. To confirm, navigate to the **Langflow Store** and filter results by **Created By Me**. You should see your new flow on the **Langflow Store**.

docs/sidebars.js

@@ -38,6 +38,8 @@ module.exports = {
         "administration/login",
         "administration/api",
         "administration/cli",
+        "administration/playground",
+        "administration/global-env",
         "administration/components",
         "administration/collection",
         "administration/prompt-customization",
@@ -126,6 +128,7 @@ module.exports = {
         "contributing/how-contribute",
         "contributing/github-issues",
         "contributing/community",
+        "contributing/contribute-component",
       ],
     },
   ],