docs: hide windows for desktop installation (#8707)

* hide-windows-desktop

* troubleshooting

* trailing-space-to-run-ci

Author: mendonk

docs/docs/Get-Started/get-started-installation.md

@@ -16,10 +16,7 @@ Langflow can be installed in multiple ways:
 
 ## Install and run Langflow Desktop
 
-**Langflow Desktop** is a desktop version of Langflow that includes all the features of open source Langflow, with an additional [version management](#manage-your-version-of-langflow-desktop) feature for managing your Langflow version.
-
-<Tabs groupId="os">
-  <TabItem value="macOS" label="macOS">
+**Langflow Desktop** is a desktop version of Langflow that includes all the features of open source Langflow, with an additional [version management](#manage-your-version-of-langflow-desktop) feature for managing your Langflow version. Langflow Desktop is currently available for macOS.
 
   1. Navigate to [Langflow Desktop](https://www.langflow.org/desktop).
   2. Click **Download Langflow**, enter your contact information, and then click **Download**.
@@ -28,25 +25,6 @@ Langflow can be installed in multiple ways:
 
   After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart).
 
-  </TabItem>
-  <TabItem value="Windows" label="Windows">
-
-  1. Navigate to [Langflow Desktop](https://www.langflow.org/desktop).
-  2. Click **Download Langflow**, enter your contact information, and then click **Download**.
-  3. Open the **File Explorer**, and then navigate to **Downloads**.
-  4. Double-click the downloaded `.msi` file, and then use the install wizard to install Langflow Desktop.
-
-      :::important
-      Windows installations of Langflow Desktop require a C++ compiler that may not be present on your system. If you receive a `C++ Build Tools Required!` error, follow the on-screen prompt to install Microsoft C++ Build Tools, or [install Microsoft Visual Studio](https://visualstudio.microsoft.com/downloads/).
-      :::
-
-  5. When the installation completes, open the Langflow application.
-
-  After confirming that Langflow is running, create your first flow with the [Quickstart](/get-started-quickstart).
-
-  </TabItem>
-</Tabs>
-
 ### Manage your version of Langflow Desktop
 
 When a new version of Langflow is available, Langflow Desktop displays an upgrade message.

docs/docs/Get-Started/get-started-quickstart.md

@@ -73,67 +73,67 @@ Langflow provides code snippets to help you get started with the Langflow API.
 
     <Tabs groupId="Language">
       <TabItem value="Python" label="Python" default>
-    
+
     ```python
     import requests
-    
+
     url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  # The complete API endpoint URL for this flow
-    
+
     # Request payload configuration
     payload = {
         "output_type": "chat",
         "input_type": "chat",
         "input_value": "hello world!"
     }
-    
+
     # Request headers
     headers = {
         "Content-Type": "application/json"
     }
-    
+
     try:
         # Send API request
         response = requests.request("POST", url, json=payload, headers=headers)
         response.raise_for_status()  # Raise exception for bad status codes
-    
+
         # Print response
         print(response.text)
-    
+
     except requests.exceptions.RequestException as e:
         print(f"Error making API request: {e}")
     except ValueError as e:
         print(f"Error parsing response: {e}")
     ```
-    
+
       </TabItem>
       <TabItem value="JavaScript" label="JavaScript">
-    
+
     ```js
     const payload = {
         "output_type": "chat",
         "input_type": "chat",
         "input_value": "hello world!",
         "session_id": "user_1"
     };
-    
+
     const options = {
         method: 'POST',
         headers: {
             'Content-Type': 'application/json'
         },
         body: JSON.stringify(payload)
     };
-    
+
     fetch('http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID', options)
         .then(response => response.json())
         .then(response => console.log(response))
         .catch(err => console.error(err));
     ```
-    
+
       </TabItem>
-    
+
       <TabItem value="curl" label="curl">
-    
+
     ```text
     curl --request POST \
          --url 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false' \
@@ -143,12 +143,12 @@ Langflow provides code snippets to help you get started with the Langflow API.
     		           "input_type": "chat",
     		           "input_value": "hello world!"
     		         }'
-    
+
     # A 200 response confirms the call succeeded.
     ```
-    
+
       </TabItem>
-    
+
     </Tabs>
 
 2. Copy the snippet, paste it in a script file, and then run the script to send the request.
@@ -339,50 +339,50 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
 
     <Tabs groupId="Languages">
       <TabItem value="Python" label="Python" default>
-    
+
     ```python
     import requests
     import json
-    
+
     url = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"
-    
+
     def ask_agent(question):
         payload = {
             "output_type": "chat",
             "input_type": "chat",
             "input_value": question,
         }
-    
+
         headers = {"Content-Type": "application/json"}
-    
+
         try:
             response = requests.post(url, json=payload, headers=headers)
             response.raise_for_status()
-    
+
             # Get the response message
             data = response.json()
             message = data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"]
             return message
-    
+
         except Exception as e:
             return f"Error: {str(e)}"
-    
+
     def extract_message(data):
         try:
             return data["outputs"][0]["outputs"][0]["outputs"]["message"]["message"]
         except (KeyError, IndexError):
             return None
-    
+
     # Store the previous answer from ask_agent response
     previous_answer = None
-    
+
     # the terminal chat
     while True:
         # Get user input
         print("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?')")
         print("Type 'quit' to exit or 'compare' to see the previous answer")
         user_question = input("Your question: ")
-        
+
         if user_question.lower() == 'quit':
             break
         elif user_question.lower() == 'compare':
@@ -391,70 +391,70 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
             else:
                 print("\nNo previous answer to compare with!")
             continue
-        
+
         # Get and display the answer
         result = ask_agent(user_question)
-        print(f"\nAgent's answer: {result}")    
+        print(f"\nAgent's answer: {result}")
         # Store the answer for comparison
         previous_answer = result
     ```
-    
+
       </TabItem>
       <TabItem value="JavaScript" label="JavaScript">
-    
+
     ```js
     const readline = require('readline');
-    
+
     const rl = readline.createInterface({
         input: process.stdin,
         output: process.stdout
     });
-    
+
     const url = 'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID';
-    
+
     // Store the previous answer from askAgent response
     let previousAnswer = null;
-    
+
     // the agent flow, with question as input_value
     async function askAgent(question) {
         const payload = {
             "output_type": "chat",
             "input_type": "chat",
             "input_value": question
         };
-    
+
         const options = {
             method: 'POST',
             headers: {
                 'Content-Type': 'application/json'
             },
             body: JSON.stringify(payload)
         };
-    
+
         try {
             const response = await fetch(url, options);
             const data = await response.json();
-    
+
             // Extract the message from the nested response
             const message = data.outputs[0].outputs[0].outputs.message.message;
             return message;
         } catch (error) {
             return `Error: ${error.message}`;
         }
     }
-    
+
     // the terminal chat
     async function startChat() {
         console.log("\nAsk the agent anything, such as 'What is 15 * 7?' or 'What is the capital of France?'");
         console.log("Type 'quit' to exit or 'compare' to see the previous answer");
-    
+
         const askQuestion = () => {
             rl.question('\nYour question: ', async (userQuestion) => {
                 if (userQuestion.toLowerCase() === 'quit') {
                     rl.close();
                     return;
                 }
-    
+
                 if (userQuestion.toLowerCase() === 'compare') {
                     if (previousAnswer) {
                         console.log(`\nPrevious answer was: ${previousAnswer}`);
@@ -464,20 +464,20 @@ This script runs a question-and-answer chat in your terminal and stores the Agen
                     askQuestion();
                     return;
                 }
-    
+
                 const result = await askAgent(userQuestion);
                 console.log(`\nAgent's answer: ${result}`);
                 previousAnswer = result;
                 askQuestion();
             });
         };
-    
+
         askQuestion();
     }
-    
+
     startChat();
     ```
-    
+
       </TabItem>
     </Tabs>
 
@@ -518,4 +518,4 @@ payload = {
 ## Next steps
 
 * [Model Context Protocol (MCP) servers](/mcp-server)
-* [Langflow deployment overview](/deployment-overview)
+* [Langflow deployment overview](/deployment-overview)

docs/docs/Support/troubleshooting.md

@@ -34,10 +34,6 @@ If you get an API key error when running a flow, try the following:
 
 The following issues can occur when installing Langflow.
 
-### C++ build tools required for Langflow Desktop on Windows
-
-Microsoft Windows installations of Langflow Desktop require a C++ compiler that may not be present on your system. If you receive a `C++ Build Tools Required!` error, follow the on-screen prompt to install Microsoft C++ Build Tools, or [install Microsoft Visual Studio](https://visualstudio.microsoft.com/downloads/).
-
 ### Langflow installation freezes at pip dependency resolution
 
 Installing Langflow OSS with `pip install langflow` slowly fails with this error message: